Triple
T2294643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Subansiri River |
E51581
|
entity |
| Predicate | hasLocalImportanceFor |
P1887
|
FINISHED |
| Object | transport in Arunachal Pradesh |
—
|
LITERAL 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: transport in Arunachal Pradesh | Statement: [Subansiri River, hasLocalImportanceFor, transport in Arunachal Pradesh]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLocalImportanceFor Context triple: [Subansiri River, hasLocalImportanceFor, transport in Arunachal Pradesh]
-
A.
isImportantFor
chosen
Indicates that something holds significant value, relevance, or necessity in relation to something else.
-
B.
isLocalLandmark
Indicates that something is recognized as a notable or significant landmark within a specific local area or community.
-
C.
representedLocallyBy
Indicates that an entity is expressed, implemented, or instantiated in a specific local form or representation by another entity.
-
D.
isGloballySignificant
Indicates that something has importance, impact, or relevance on a worldwide scale rather than being limited to a local or regional context.
-
E.
isLocallyIsomorphicTo
Indicates that two structures are isomorphic within some local neighborhood or restricted region, even if they may differ globally.
- F. None of above.
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_69a88b09c644819090b503456d96bf70 |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abcd0e42248190ada33b84d75caa64 |
completed | March 7, 2026, 7 a.m. |
| PD | Predicate disambiguation | batch_69abc589295c819092989820c2b4e9d8 |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:49 p.m.