Triple
T7840396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ghagra |
E181789
|
entity |
| Predicate | wornInRegion |
P908
|
FINISHED |
| Object | North India |
—
|
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: North India | Statement: [Ghagra, wornInRegion, North India]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wornInRegion Context triple: [Ghagra, wornInRegion, North India]
-
A.
hasRegion
Indicates that an entity includes, contains, or is associated with a specific geographic or administrative region as part of its scope or structure.
-
B.
usedInRegion
chosen
Indicates that something is utilized or applied within a specific geographic or administrative region.
-
C.
foundInRegion
Indicates that something is located within, occurs in, or is associated with a specific geographic or spatial region.
-
D.
placeRegion
Indicates that a place is located within, or is part of, a larger geographic or administrative region.
-
E.
mentionsRegion
Indicates that one entity explicitly refers to or cites a specific geographic region in its content or context.
- 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_69ca8285d6488190a95d4c02d7354b53 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb14c589748190b34d0911d373e194 |
completed | March 31, 2026, 12:26 a.m. |
| PD | Predicate disambiguation | batch_69cae91e98988190abd4ece75932c589 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 4:47 p.m.