Triple
T13591726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ayodhya district |
E324706
|
entity |
| Predicate | majorRailwayStation |
P1071
|
FINISHED |
| Object | Ayodhya Cantt |
E142785
|
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: Ayodhya Cantt | Statement: [Ayodhya district, majorRailwayStation, Ayodhya Cantt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ayodhya Cantt Context triple: [Ayodhya district, majorRailwayStation, Ayodhya Cantt]
-
A.
Ayodhya Cantt
chosen
Ayodhya Cantt is a major railway station serving the city of Ayodhya in Uttar Pradesh, India, connecting it to key destinations across the country.
-
B.
Varanasi Cantt
Varanasi Cantt is a major railway station and transportation hub in Varanasi, Uttar Pradesh, serving as one of the primary gateways to the city.
-
C.
Ambala Cantonment
Ambala Cantonment is a prominent military and commercial town in Haryana, India, known for its strategic location and major railway junction.
-
D.
Agra Cantonment
Agra Cantonment is a major Indian Army military station and the primary railway hub of Agra, Uttar Pradesh.
-
E.
Jhelum Cantonment
Jhelum Cantonment is a major Pakistani military garrison located near the city of Jhelum in Punjab Province.
- 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_69d80769eaf081909d82f44e484d6113 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb056ce088190a6feb4266633d18b |
completed | April 12, 2026, 2:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f78ae1d1b08190ad07b159ac3eba4b |
completed | May 3, 2026, 5:50 p.m. |
Created at: April 9, 2026, 9:49 p.m.