Triple
T15845124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaira district |
E384193
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Kheda town |
E78270
|
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: Kheda town | Statement: [Kaira district, namedAfter, Kheda town]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kheda town Context triple: [Kaira district, namedAfter, Kheda town]
-
A.
Kheda district
chosen
Kheda district is an administrative region in the Indian state of Gujarat, historically notable as the site of Mahatma Gandhi’s 1918 Kheda Satyagraha peasant movement.
-
B.
Marvadi
Marvadi is an alternative name for the Marwari people and their Indo-Aryan language traditionally associated with the Marwar region of Rajasthan, India.
-
C.
Khargone
Khargone is a city in western Madhya Pradesh, India, known as an agricultural and commercial center in the Nimar region.
-
D.
Khandala
Khandala is a popular hill station in Maharashtra, India, known for its scenic valleys, waterfalls, and trekking spots in the Western Ghats.
-
E.
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.
- 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_69d86da422088190aac39e32e6c68429 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e142eb20088190bb45e37ce3291ef2 |
completed | April 16, 2026, 8:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa93fbcb481908e7b7ddc46992f79 |
completed | May 9, 2026, 9:38 p.m. |
Created at: April 10, 2026, 4:50 a.m.