Triple
T11860448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SITE Town |
E282143
|
entity |
| Predicate | hasNeighbourhood |
P4813
|
FINISHED |
| Object |
Pathan Colony
Pathan Colony is a residential neighborhood located within SITE Town in Karachi, Pakistan.
|
E951593
|
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: Pathan Colony | Statement: [SITE Town, hasNeighbourhood, Pathan Colony]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pathan Colony Context triple: [SITE Town, hasNeighbourhood, Pathan Colony]
-
A.
Bilal Colony
Bilal Colony is a residential neighborhood located within the Korangi District of Karachi, Pakistan.
-
B.
Amar Colony
Amar Colony is a residential neighborhood in South Delhi, India, known for its dense housing, local markets, and proximity to major commercial areas.
-
C.
Dayanand Colony
Dayanand Colony is a residential neighborhood located within the Lajpat Nagar area of South Delhi, India.
-
D.
Kailash Colony
Kailash Colony is an upscale residential and commercial neighborhood in South Delhi known for its central location, metro connectivity, and mix of markets, eateries, and housing.
-
E.
Shah Faisal Colony
Shah Faisal Colony is a densely populated residential and commercial neighborhood in Karachi, Pakistan, known for its urban bustle and diverse working-class community.
- 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: Pathan Colony Triple: [SITE Town, hasNeighbourhood, Pathan Colony]
Generated description
Pathan Colony is a residential neighborhood located within SITE Town in Karachi, Pakistan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pathan Colony Target entity description: Pathan Colony is a residential neighborhood located within SITE Town in Karachi, Pakistan.
-
A.
Bilal Colony
Bilal Colony is a residential neighborhood located within the Korangi District of Karachi, Pakistan.
-
B.
Amar Colony
Amar Colony is a residential neighborhood in South Delhi, India, known for its dense housing, local markets, and proximity to major commercial areas.
-
C.
Dayanand Colony
Dayanand Colony is a residential neighborhood located within the Lajpat Nagar area of South Delhi, India.
-
D.
Kailash Colony
Kailash Colony is an upscale residential and commercial neighborhood in South Delhi known for its central location, metro connectivity, and mix of markets, eateries, and housing.
-
E.
Shah Faisal Colony
Shah Faisal Colony is a densely populated residential and commercial neighborhood in Karachi, Pakistan, known for its urban bustle and diverse working-class community.
- 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.