Triple
T2846571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ravi |
E62996
|
entity |
| Predicate | nearCity |
P350
|
FINISHED |
| Object | Gurdaspur |
E110180
|
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: Gurdaspur | Statement: [Ravi, nearCity, Gurdaspur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gurdaspur Context triple: [Ravi, nearCity, Gurdaspur]
-
A.
Faridkot
Faridkot is a historic town and district headquarters in the Malwa region of Punjab, India, known for its cultural heritage and agricultural surroundings.
-
B.
Ferozepur
Ferozepur is a historic city in the Indian state of Punjab, known for its strategic location near the India–Pakistan border and its role in various military and independence-era events.
-
C.
Bathinda
Bathinda is a major city in southwestern Punjab, India, known as an important agricultural, industrial, and military center with historical forts and thermal power plants.
-
D.
Fazilka
Fazilka is a town in the southwestern part of Punjab, India, near the India–Pakistan border, known for its agricultural economy and cultural ties to the Malwa region.
-
E.
Gurdaspur district
chosen
Gurdaspur district is an administrative region in the northern Indian state of Punjab, known for its agricultural landscape and strategic location near the India–Pakistan border.
- 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_69ab4c407c408190857d25e027155ce9 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdf3ebbac819090e2bf98ed9fbd02 |
completed | March 7, 2026, 8:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b12e0c57b481908726496e6c2fc395 |
completed | March 11, 2026, 8:55 a.m. |
Created at: March 6, 2026, 10:02 p.m.