Triple
T12190341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Federal B Area |
E290444
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Gulberg Subdivision |
E964451
|
NE FINISHED |
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: Gulberg Subdivision | Statement: [Federal B Area, hasPart, Gulberg Subdivision]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gulberg Subdivision Context triple: [Federal B Area, hasPart, Gulberg Subdivision]
-
A.
Gulberg Town
chosen
Gulberg Town is a residential and commercial locality in Karachi, Pakistan, known for its dense urban neighborhoods and bustling markets.
-
B.
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.
-
C.
Gulshan-e-Iqbal Town
Gulshan-e-Iqbal Town is a major residential and commercial neighborhood in Karachi, Pakistan, known for its educational institutions, parks, and busy urban centers.
-
D.
Bilal Colony
Bilal Colony is a residential neighborhood located within the Korangi District of Karachi, Pakistan.
-
E.
Malir Cantonment
Malir Cantonment is a major military garrison and residential area located in the eastern part of Karachi, Pakistan.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6ab64de5881908d56eb7a75c6cc69 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91c5340248190b79379423f3a3ca1 |
completed | April 10, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e5289608190bded58513316b1e5 |
completed | May 2, 2026, 3:54 p.m. |
Created at: April 8, 2026, 9:50 p.m.