Triple
T17958200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haryana Urban Development Authority |
E449006
|
entity |
| Predicate | regionServed |
P82
|
FINISHED |
| Object | Fatehabad |
E1192059
|
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: Fatehabad | Statement: [Haryana Urban Development Authority, regionServed, Fatehabad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fatehabad Context triple: [Haryana Urban Development Authority, regionServed, Fatehabad]
-
A.
Fatehabad
chosen
Fatehabad is a town in the Indian state of Haryana that serves as an administrative and commercial center for the surrounding region.
-
B.
Fatehabad
Fatehabad is a town in the Agra district of Uttar Pradesh, India, known for its role as a local commercial and administrative center in the region.
-
C.
Saharanpur
Saharanpur is a city in the Indian state of Uttar Pradesh known as a commercial and transportation hub, particularly for its wood carving industry and agricultural trade.
-
D.
Bhiwani
Bhiwani is a city in the Indian state of Haryana known as a regional educational and political hub.
-
E.
Jhunjhunu
Jhunjhunu is a city and district in the northeastern part of Rajasthan, India, known for its historic havelis, rich Marwari heritage, and role as a prominent center of education and military recruitment.
- 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_69d8b9f8cca8819099836916c56b7c95 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4afb16bfc8190b3eb433a90f0630d |
completed | April 19, 2026, 10:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03f08dfb308190a0468a90f1a10c44 |
completed | May 13, 2026, 3:31 a.m. |
Created at: April 10, 2026, 10:21 a.m.