Triple
T12828725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lyari Town |
E306728
|
entity |
| Predicate | hasNeighbourhood |
P4813
|
FINISHED |
| Object |
Daryabad
Daryabad is a residential neighborhood located within Lyari Town in Karachi, Pakistan, known for its dense urban setting and vibrant local community.
|
E1006707
|
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: Daryabad | Statement: [Lyari Town, hasNeighbourhood, Daryabad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daryabad Context triple: [Lyari Town, hasNeighbourhood, Daryabad]
-
A.
Nazarabad
Nazarabad is a city in Iran that serves as an important urban center within Alborz Province.
-
B.
Astarabad
Astarabad is the historical name of the city now known as Gorgan in northeastern Iran, once an important regional center near the Caspian Sea.
-
C.
Asadabad
Asadabad is a small but strategically important city in eastern Afghanistan, serving as the capital of Kunar Province near the Pakistani border.
-
D.
Asadabad
Asadabad is a city in western Iran that serves as an administrative and population center within Hamedan Province.
-
E.
Nurabad
Nurabad is a city in western Iran that serves as a local urban center within Lorestan Province.
- 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: Daryabad Triple: [Lyari Town, hasNeighbourhood, Daryabad]
Generated description
Daryabad is a residential neighborhood located within Lyari Town in Karachi, Pakistan, known for its dense urban setting and vibrant local community.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Daryabad Target entity description: Daryabad is a residential neighborhood located within Lyari Town in Karachi, Pakistan, known for its dense urban setting and vibrant local community.
-
A.
Nazarabad
Nazarabad is a city in Iran that serves as an important urban center within Alborz Province.
-
B.
Astarabad
Astarabad is the historical name of the city now known as Gorgan in northeastern Iran, once an important regional center near the Caspian Sea.
-
C.
Asadabad
Asadabad is a small but strategically important city in eastern Afghanistan, serving as the capital of Kunar Province near the Pakistani border.
-
D.
Asadabad
Asadabad is a city in western Iran that serves as an administrative and population center within Hamedan Province.
-
E.
Nurabad
Nurabad is a city in western Iran that serves as a local urban center within Lorestan Province.
- 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_69d7bdf52b94819096d6f0ba4ab50a98 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96faf9ae481908265e198f917d1e6 |
completed | April 10, 2026, 9:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f69b99d9bc8190b67f73985c8f6768 |
completed | May 3, 2026, 12:49 a.m. |
| NEDg | Description generation | batch_69f69d48e6948190a13afe3b8943d877 |
completed | May 3, 2026, 12:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f69dfa2b8481908827025a28bfb056 |
completed | May 3, 2026, 12:59 a.m. |
Created at: April 9, 2026, 5:34 p.m.