Triple
T12679400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vastrapur campus |
E302905
|
entity |
| Predicate | neighborhood |
P988
|
FINISHED |
| Object | Vastrapur |
E997705
|
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: Vastrapur | Statement: [Vastrapur campus, neighborhood, Vastrapur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vastrapur Context triple: [Vastrapur campus, neighborhood, Vastrapur]
-
A.
Vastrapur
chosen
Vastrapur is a prominent residential and commercial neighborhood in Ahmedabad, India, known for landmarks like Vastrapur Lake and several major educational institutions.
-
B.
Konnagar
Konnagar is a suburban town in West Bengal, India, situated along the Hooghly River and known as part of the Kolkata metropolitan area.
-
C.
Radhanagar
Radhanagar is a village in West Bengal, India, best known as the birthplace of the social reformer Raja Ram Mohan Roy.
-
D.
Bhaderwahi
Bhaderwahi is an Indo-Aryan language spoken primarily in the Bhaderwah region of Jammu and Kashmir, India.
-
E.
Budge Budge
Budge Budge is an industrial town and river port in West Bengal, India, located along the Hooghly River near Kolkata.
- 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_69d7bdee64a08190801c6d470aefd723 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961b1dff48190923290555ece5d89 |
completed | April 10, 2026, 8:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f67c7722788190867cc8a27f678b4f |
completed | May 2, 2026, 10:36 p.m. |
Created at: April 9, 2026, 5:21 p.m.