Triple
T8668000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mathura district |
E205722
|
entity |
| Predicate | hasMajorTown |
P316
|
FINISHED |
| Object | Chhata |
E486907
|
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: Chhata | Statement: [Mathura district, hasMajorTown, Chhata]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chhata Context triple: [Mathura district, hasMajorTown, Chhata]
-
A.
Chhata
chosen
Chhata is a town in the Braj cultural region of northern India, known for its association with the legends and pilgrimage traditions of Lord Krishna.
-
B.
Chhachhrauli
Chhachhrauli is a town in the Yamunanagar district of Haryana, India, known historically as a former princely estate and regional administrative center.
-
C.
Chikaranga
Chikaranga is an alternative name for the Karanga language, a major Shona dialect spoken primarily in southern Zimbabwe.
-
D.
Chabua
Chabua is a town in Assam, India, historically known for its tea gardens and as the site of a World War II airbase used by Allied forces.
-
E.
Chamkoria
Chamkoria is the former name of Borovets, one of Bulgaria’s oldest and most popular mountain ski resorts.
- 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_69ca83516ae88190aefe034b3bc589e3 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc48a48b548190b78259072b1224ee |
completed | March 31, 2026, 10:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cecd1ca88c8190a3b2ca79a7204248 |
completed | April 2, 2026, 8:10 p.m. |
Created at: March 30, 2026, 6:31 p.m.