Triple
T31035022
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Women's Six Nations Championship |
E790830
|
entity |
| Predicate | hasNeutralVenueFinal |
P64590
|
FINISHED |
| Object | false |
—
|
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: false | Statement: [Women's Six Nations Championship, hasNeutralVenueFinal, false]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNeutralVenueFinal Context triple: [Women's Six Nations Championship, hasNeutralVenueFinal, false]
-
A.
usesNeutralVenueForFinal
chosen
Indicates that the final match or event in a competition is held at a neutral venue, not the home ground of either participating side.
-
B.
hasNeutralVenueCharacteristics
Indicates that a venue possesses qualities or conditions that make it neutral and unbiased with respect to the parties or interests involved.
-
C.
isNeutralSite
Indicates that a location serves as an impartial or non-aligned site for an interaction, event, or relationship between parties.
-
D.
neutralVenueCountry
Indicates that an event or interaction takes place in a country that is neutral with respect to the parties involved.
-
E.
semiFinalVenue
Indicates the venue where a semifinal match or event takes place.
- 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_69f224c97a788190b5da1ead6038a74e |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69feced53a7c819098ec474fb7d514b0 |
completed | May 9, 2026, 6:06 a.m. |
| PD | Predicate disambiguation | batch_69fecd9cd5288190aac8b4e04a7ee78e |
completed | May 9, 2026, 6:01 a.m. |
Created at: April 29, 2026, 8:59 p.m.