Triple
T33554375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goa bridge (The Bourne Supremacy) |
E859427
|
entity |
| Predicate | basedOnRealCountry |
P29866
|
FINISHED |
| Object | India |
—
|
NE NERFINISHED |
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: India | Statement: [Goa bridge (The Bourne Supremacy), basedOnRealCountry, India]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basedOnRealCountry Context triple: [Goa bridge (The Bourne Supremacy), basedOnRealCountry, India]
-
A.
basedOnRealLocation
Indicates that something is derived from, inspired by, or modeled after an actual geographic place in the real world.
-
B.
basedOnRealPersonFor
Indicates that one entity is created, modeled, or inspired using a specific real person as its basis.
-
C.
basedOnNationality
Indicates a relationship where something is determined, derived, or decided according to a person’s nationality.
-
D.
basedOnWorkCountryOfOrigin
chosen
Indicates that something is determined or derived from the country of origin of a work.
-
E.
usedInConstituentCountry
Indicates that something is utilized or applied within a specific constituent country of a larger sovereign state.
- 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_69f3497b2b68819093207971b5e13dc8 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69feb8e856d48190aa34ad8ee8376e1c |
completed | May 9, 2026, 4:32 a.m. |
| PD | Predicate disambiguation | batch_69feb82a2b6c8190a473cc25976897be |
completed | May 9, 2026, 4:29 a.m. |
Created at: May 1, 2026, 1:40 a.m.