Triple
T2846551
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ravi |
E62996
|
entity |
| Predicate | passesNear |
P416
|
FINISHED |
| Object | Pathankot |
E95953
|
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: Pathankot | Statement: [Ravi, passesNear, Pathankot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pathankot Context triple: [Ravi, passesNear, Pathankot]
-
A.
Pathankot
chosen
Pathankot is a city in the northern Indian state of Punjab, known as a strategic transport hub near the borders of Jammu and Kashmir and Himachal Pradesh.
-
B.
Ayodhya Cantt
Ayodhya Cantt is a major railway station serving the city of Ayodhya in Uttar Pradesh, India, connecting it to key destinations across the country.
-
C.
Jammu
Jammu is a historically significant city and region in northern India, known as the winter capital of Jammu and Kashmir and a former stronghold of Dogra rulers.
-
D.
Parachinar
Parachinar is a major town in northwestern Pakistan near the Afghan border, known as the administrative center of Kurram District and for its strategic and sectarian-sensitive location.
-
E.
Amritsar
Amritsar is a historic city in the Indian state of Punjab, renowned as the spiritual center of Sikhism and home to the Golden Temple.
- 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_69afe8dbdff88190b6c46cfd6ef54bb8 |
completed | March 10, 2026, 9:48 a.m. |
Created at: March 6, 2026, 10:02 p.m.