Triple
T12828719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lyari Town |
E306728
|
entity |
| Predicate | hasNeighbourhood |
P4813
|
FINISHED |
| Object |
Nayabad
Nayabad is a residential neighborhood located within Lyari Town in Karachi, Pakistan.
|
E1005713
|
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: Nayabad | Statement: [Lyari Town, hasNeighbourhood, Nayabad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nayabad Context triple: [Lyari Town, hasNeighbourhood, Nayabad]
-
A.
Mozzafarieh
Mozzafarieh is a notable section of the Tabriz Historic Bazaar Complex, traditionally associated with specialized trade and craftsmanship within the bazaar.
-
B.
Kuhdasht
Kuhdasht is a city in western Iran known as an agricultural and regional center within Lorestan Province.
-
C.
Kalaleh
Kalaleh is a city in northeastern Iran known as a local administrative and agricultural center.
-
D.
Bavanat
Bavanat is a small city in southern Iran known for its traditional rural landscapes, gardens, and location within the mountainous region of Fars Province.
-
E.
Firuzkuh
Firuzkuh is a small city in Tehran Province, Iran, known for its mountainous landscape and cool climate.
- 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: Nayabad Triple: [Lyari Town, hasNeighbourhood, Nayabad]
Generated description
Nayabad is a residential neighborhood located within Lyari Town in Karachi, Pakistan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nayabad Target entity description: Nayabad is a residential neighborhood located within Lyari Town in Karachi, Pakistan.
-
A.
Mozzafarieh
Mozzafarieh is a notable section of the Tabriz Historic Bazaar Complex, traditionally associated with specialized trade and craftsmanship within the bazaar.
-
B.
Kuhdasht
Kuhdasht is a city in western Iran known as an agricultural and regional center within Lorestan Province.
-
C.
Kalaleh
Kalaleh is a city in northeastern Iran known as a local administrative and agricultural center.
-
D.
Bavanat
Bavanat is a small city in southern Iran known for its traditional rural landscapes, gardens, and location within the mountainous region of Fars Province.
-
E.
Firuzkuh
Firuzkuh is a small city in Tehran Province, Iran, known for its mountainous landscape and cool climate.
- 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_69f68ed6cc9c8190aa66075505b42ec0 |
completed | May 2, 2026, 11:55 p.m. |
| NEDg | Description generation | batch_69f69277d3d88190abce800c01a8026c |
completed | May 3, 2026, 12:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6938150608190a61206cefa3eca1e |
completed | May 3, 2026, 12:14 a.m. |
Created at: April 9, 2026, 5:34 p.m.