Triple
T34175635
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1997 Heineken Cup |
E876662
|
entity |
| Predicate | countryOfFinalist |
P153381
|
FINISHED |
| Object | France |
—
|
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: France | Statement: [1997 Heineken Cup, countryOfFinalist, France]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOfFinalist Context triple: [1997 Heineken Cup, countryOfFinalist, France]
-
A.
countryOfBothFinalists
Indicates that the referenced country is the national affiliation shared by both finalists in a given competition or event.
-
B.
countryRepresentedBy
Indicates that a particular country is officially represented by a specified person, organization, or entity in a given context.
-
C.
countryRepresented
Indicates that one entity serves as the official representative (such as an athlete, diplomat, or delegate) of a specific country in a given context or event.
-
D.
lastSeasonChampionCountry
Indicates the country whose team or representative won the championship in the immediately preceding season.
-
E.
countryOfParticipant
chosen
Indicates the country with which a given participant is associated or from which they originate in the context of an event or activity.
- 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_69f349ad97ac8190bf1f17417c970e64 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a01302a80ec8190a27692f09ac38a80 |
completed | May 11, 2026, 1:26 a.m. |
| PD | Predicate disambiguation | batch_6a012fad62308190a53f8b4a071eb245 |
completed | May 11, 2026, 1:23 a.m. |
Created at: May 1, 2026, 1:54 a.m.