Triple
T890338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maharashtra |
E19223
|
entity |
| Predicate | majorRiver |
P165
|
FINISHED |
| Object | Tapi River |
E187153
|
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: Tapi River | Statement: [Maharashtra, majorRiver, Tapi River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tapi River Context triple: [Maharashtra, majorRiver, Tapi River]
-
A.
Tapi River
chosen
The Tapi River is a major west-flowing river in central India that traverses Maharashtra, Madhya Pradesh, and Gujarat before emptying into the Arabian Sea.
-
B.
Arly River
The Arly River is a mountain river in southeastern France that flows through the Savoie region before joining the Isère.
-
C.
Coco River
The Coco River is a major Central American river forming much of the border between Nicaragua and Honduras and flowing into the Caribbean Sea.
-
D.
Axios River
The Axios River is a major river in the Balkans that flows through North Macedonia into northern Greece, where it empties into the Aegean Sea.
-
E.
Banjar River
The Banjar River is a significant tributary in central India that feeds into the Narmada River system.
- 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_69a4939d37188190848be3d426ebc9ae |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ad0086a081908c47c285896a1f3c |
completed | March 1, 2026, 9:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af2b3a21248190aca7710ae6ad6478 |
completed | March 9, 2026, 8:19 p.m. |
Created at: March 1, 2026, 7:39 p.m.