Triple
T7166188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pakka Qila |
E167073
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Old Hyderabad |
E119141
|
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: Old Hyderabad | Statement: [Pakka Qila, locatedIn, Old Hyderabad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Old Hyderabad Context triple: [Pakka Qila, locatedIn, Old Hyderabad]
-
A.
Hyderabad
chosen
Hyderabad is a major city in the Sindh province of Pakistan, known for its historical significance, vibrant culture, and role as an important commercial and industrial center.
-
B.
Hyderabad
Hyderabad is a major city in southern India known for its historic Charminar monument, rich Hyderabadi cuisine, and growing technology industry.
-
C.
Kacha Qila, Hyderabad
Kacha Qila, Hyderabad is a historic fort in Hyderabad, Sindh, Pakistan, known for its centuries-old architecture and cultural significance.
-
D.
Old Delhi
Old Delhi is the historic walled quarter of India’s capital, renowned for its Mughal-era architecture, bustling markets, and narrow, crowded streets.
-
E.
Old Campus Hyderabad
Old Campus Hyderabad is a historic campus of the University of Sindh located in the city of Hyderabad, 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_69c68888c10c819095e0383020225758 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e85a07388190a07054ef12870fa1 |
completed | March 27, 2026, 8:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7adced6b48190bcae9af88f640584 |
completed | March 28, 2026, 10:30 a.m. |
Created at: March 27, 2026, 2:48 p.m.