Triple
T32761595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pakistani music industry |
E837769
|
entity |
| Predicate | majorCityHub |
P73515
|
FINISHED |
| Object | Karachi |
—
|
NE NERFINISHED |
How this triple was built (2 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: Karachi | Statement: [Pakistani music industry, majorCityHub, Karachi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorCityHub Context triple: [Pakistani music industry, majorCityHub, Karachi]
-
A.
majorUrbanCenterIn
Indicates that a city or metropolitan area functions as a primary or significant urban center within the specified region or administrative unit.
-
B.
otherMajorCity
Indicates that one city is another major city associated with or comparable in importance or status to the first city.
-
C.
majorCityAlong
Indicates that a major city is located along the course or path of a specified geographic feature, such as a river, road, or route.
-
D.
hasMajorCityHub
chosen
Indicates that an entity contains or is associated with a primary, high-importance city that functions as a central hub for activity, services, or connectivity.
-
E.
majorCityInCountry
Indicates that a city is a primary or significant urban center within a specified country.
- F. None of above.
Provenance (3 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_69f34939857c8190aa9970c51feec1eb |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fee335cb08819097e3a0e09d5ebf49 |
completed | May 9, 2026, 7:33 a.m. |
| PD | Predicate disambiguation | batch_69fee2c74fd88190acfc045ab07b7f6b |
completed | May 9, 2026, 7:31 a.m. |
Created at: May 1, 2026, 1:13 a.m.