Triple
T11860456
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SITE Town |
E282143
|
entity |
| Predicate | hasNeighbourhood |
P4813
|
FINISHED |
| Object |
Ittehad Town
Ittehad Town is a residential neighborhood located in the SITE Town area of Karachi, Pakistan.
|
E951599
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Ittehad Town | Statement: [SITE Town, hasNeighbourhood, Ittehad Town]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ittehad Town Context triple: [SITE Town, hasNeighbourhood, Ittehad Town]
-
A.
Bilal Town
Bilal Town is a residential suburb of Abbottabad, Pakistan, internationally known as the neighborhood where Osama bin Laden was found and killed by U.S. forces in 2011.
-
B.
Crescent Town
Crescent Town is a densely populated, multicultural residential neighbourhood in Toronto, Ontario, known for its high-rise apartment complexes and proximity to public transit.
-
C.
Bahan Township
Bahan Township is a central urban township of Yangon, Myanmar, known for its residential neighborhoods, embassies, and proximity to major city landmarks.
-
D.
Saddar Town
Saddar Town is a central, densely populated urban area of Karachi known for its historic markets, colonial-era architecture, and major commercial and administrative centers.
-
E.
Landhi Town
Landhi Town was an administrative subdivision of Karachi, Pakistan, encompassing the industrial and residential area of Landhi.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ittehad Town Triple: [SITE Town, hasNeighbourhood, Ittehad Town]
Generated description
Ittehad Town is a residential neighborhood located in the SITE Town area of Karachi, Pakistan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ittehad Town Target entity description: Ittehad Town is a residential neighborhood located in the SITE Town area of Karachi, Pakistan.
-
A.
Bilal Town
Bilal Town is a residential suburb of Abbottabad, Pakistan, internationally known as the neighborhood where Osama bin Laden was found and killed by U.S. forces in 2011.
-
B.
Crescent Town
Crescent Town is a densely populated, multicultural residential neighbourhood in Toronto, Ontario, known for its high-rise apartment complexes and proximity to public transit.
-
C.
Bahan Township
Bahan Township is a central urban township of Yangon, Myanmar, known for its residential neighborhoods, embassies, and proximity to major city landmarks.
-
D.
Saddar Town
Saddar Town is a central, densely populated urban area of Karachi known for its historic markets, colonial-era architecture, and major commercial and administrative centers.
-
E.
Landhi Town
Landhi Town was an administrative subdivision of Karachi, Pakistan, encompassing the industrial and residential area of Landhi.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d6ab287ba48190a5178779fd19b9b7 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a69a099c8190a674db64c50eca5a |
completed | April 10, 2026, 7:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f281745ca88190968e1f674d0e483c |
completed | April 29, 2026, 10:08 p.m. |
| NEDg | Description generation | batch_69f28a8e64ac8190ba7637fd00e024bd |
completed | April 29, 2026, 10:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f28d4e341c8190abc8febc3b26a617 |
completed | April 29, 2026, 10:59 p.m. |
Created at: April 8, 2026, 9:43 p.m.