Triple
T3408955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charminar |
E71843
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Hyderabad district |
E13440
|
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: Hyderabad district | Statement: [Charminar, locatedIn, Hyderabad district]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hyderabad district Context triple: [Charminar, locatedIn, Hyderabad district]
-
A.
Nizamabad district
Nizamabad district is an administrative region in the Indian state of Telangana, known for its agricultural economy, historical sites, and reliance on river-based irrigation.
-
B.
Kakinada district
Kakinada district is an administrative district in the Indian state of Andhra Pradesh, with its headquarters in the coastal city of Kakinada.
-
C.
Hyderabad Division
Hyderabad Division is an administrative division in the Sindh province of Pakistan that encompasses the city of Hyderabad and surrounding districts.
-
D.
Hyderabad
chosen
Hyderabad is a major city in southern India known for its historic Charminar monument, rich Hyderabadi cuisine, and growing technology industry.
-
E.
Hyderabad
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.
- 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_69ad85ac312481909e7027ced1456a9f |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb9056acc8190a9c50ec374851ac8 |
completed | March 8, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5f580e2488190bce70398502e11d4 |
completed | March 14, 2026, 11:55 p.m. |
Created at: March 8, 2026, 3:15 p.m.