Triple
T16697502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karnal Lok Sabha constituency |
E405752
|
entity |
| Predicate | assemblySegment |
P63908
|
FINISHED |
| Object | Panipat City |
E1098876
|
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: Panipat City | Statement: [Karnal Lok Sabha constituency, assemblySegment, Panipat City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Panipat City Context triple: [Karnal Lok Sabha constituency, assemblySegment, Panipat City]
-
A.
Panipat city
chosen
Panipat city is a historic urban center in the Indian state of Haryana, renowned for being the site of three major battles that shaped the subcontinent’s history.
-
B.
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.
-
C.
Ambala
Ambala is a historic city and important military and transportation hub in the northern Indian state of Haryana.
-
D.
Khurja
Khurja is a town in Uttar Pradesh, India, renowned for its traditional ceramic and pottery industry.
-
E.
Sirsa
Sirsa is a city in the Indian state of Haryana, known as a regional commercial and administrative center near the Rajasthan and Punjab borders.
- 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_69d8838db21081909589220fd71440a4 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3832e93c48190a594c498e9cc901a |
completed | April 18, 2026, 1:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0123257b908190819986393cb35748 |
completed | May 11, 2026, 12:30 a.m. |
Created at: April 10, 2026, 5:19 a.m.