Triple
T14293899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LB Nagar |
E354387
|
entity |
| Predicate | nearbyArea |
P2064
|
FINISHED |
| Object | Hayathnagar |
E1087028
|
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: Hayathnagar | Statement: [LB Nagar, nearbyArea, Hayathnagar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hayathnagar Context triple: [LB Nagar, nearbyArea, Hayathnagar]
-
A.
Hayathnagar
chosen
Hayathnagar is a suburban area and major junction on the outskirts of Hyderabad, Telangana, known for its strategic location along key highways and rapid urban development.
-
B.
Shamirpet
Shamirpet is a suburban area and emerging residential and educational hub on the outskirts of Hyderabad, known for its lake, deer park, and proximity to major city infrastructure.
-
C.
Himmatnagar
Himmatnagar is a town in the Sabarkantha district of Gujarat, India, known as a regional commercial and administrative center.
-
D.
Sholinghur
Sholinghur is a historic town in Tamil Nadu, India, known for its role in 18th-century Anglo-Mysore conflicts and its prominent hilltop temples.
-
E.
Ashoknagar
Ashoknagar is a town and administrative district headquarters in the central Indian state of Madhya Pradesh, known for its agricultural economy and regional trade.
- 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_69d8278e17088190b328c5a9d4be74ff |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de7179368081908117a9ccfbf94fd4 |
completed | April 14, 2026, 4:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd7a3479088190929ab4b9d218a608 |
completed | May 8, 2026, 5:52 a.m. |
Created at: April 10, 2026, 1:11 a.m.