Triple
T5725064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anand district |
E126244
|
entity |
| Predicate | hasTown |
P847
|
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: [Anand district, hasTown, Khambhat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Khambhat Context triple: [Anand district, hasTown, 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.
Kawardha
Kawardha is a regional dialect of the Chhattisgarhi language spoken in parts of the Indian state of Chhattisgarh.
-
D.
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.
-
E.
Sarabhanga
Sarabhanga is an ascetic sage in the Hindu epic Ramayana, known for his encounter with Rama in the Aranya Kanda and his renunciation of the mortal body to attain higher spiritual realms.
- 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_69c0082f723881908ce8bb13a0c0f8b7 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c025085f508190adf5d540bc8a5b1c |
completed | March 22, 2026, 5:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0bf8fc8b881908c600c2f7de0d691 |
completed | March 23, 2026, 4:20 a.m. |
Created at: March 22, 2026, 3:47 p.m.