Triple
T12152761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bharuch district |
E289498
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object | Ankleshwar |
E937937
|
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: Ankleshwar | Statement: [Bharuch district, containsTown, Ankleshwar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ankleshwar Context triple: [Bharuch district, containsTown, Ankleshwar]
-
A.
Ankleshwar
chosen
Ankleshwar is a major industrial town in Gujarat, India, known for its large concentration of chemical and pharmaceutical manufacturing units.
-
B.
Veraval
Veraval is a coastal city in the Indian state of Gujarat, known historically as a major fishing and port town near the pilgrimage center of Somnath.
-
C.
Palanpur
Palanpur is a prominent town in northern Gujarat, India, known historically as the former capital of the princely state of Palanpur and an important regional commercial center.
-
D.
Ratlam
Ratlam is a prominent commercial city in western Madhya Pradesh, India, known for its railway junction, textile and chemical industries, and production of gold and silver jewelry.
-
E.
Surendranagar
Surendranagar is a city in the Indian state of Gujarat known historically as a regional trade and administrative center.
- 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_69d6ab4c6710819097a9d228382dde43 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915bf615c8190ad5f8ae8665678dc |
completed | April 10, 2026, 3:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60a80aa6881908111cc47b5fe8b9e |
completed | May 2, 2026, 2:30 p.m. |
Created at: April 8, 2026, 9:49 p.m.