Triple
T2709743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gulf of Khambhat |
E59829
|
entity |
| Predicate | adjacentTown |
P3883
|
FINISHED |
| Object | Khambhat |
E271391
|
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: Khambhat | Statement: [Gulf of Khambhat, adjacentTown, Khambhat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Khambhat Context triple: [Gulf of Khambhat, adjacentTown, Khambhat]
-
A.
Khargone
Khargone is a city in western Madhya Pradesh, India, known as an agricultural and commercial center in the Nimar region.
-
B.
Bharuch
chosen
Bharuch is an ancient port city in the Indian state of Gujarat, historically significant as a major trading hub on the banks of the Narmada River.
-
C.
Shajapur
Shajapur is a town and administrative center in central India known for being the headquarters of Shajapur district in the state of Madhya Pradesh.
-
D.
Dhar
Dhar is a historic town and administrative center in the Indian state of Madhya Pradesh, known for its medieval forts, Islamic architecture, and cultural heritage.
-
E.
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.
- 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_69ab4ac92a088190bc74bca14038e3de |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda7771a4819081904bd6b818b81b |
completed | March 7, 2026, 7:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afbbbc2eec819082f6e6e157d4efc7 |
completed | March 10, 2026, 6:35 a.m. |
Created at: March 6, 2026, 9:55 p.m.