Triple
T14278986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tonga national rugby union team |
E353991
|
entity |
| Predicate | hasPreMatchWarDance |
P65011
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Tonga national rugby union team, hasPreMatchWarDance, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPreMatchWarDance Context triple: [Tonga national rugby union team, hasPreMatchWarDance, true]
-
A.
hadPreShowMatch
Indicates that one entity participated in or was involved with a match that took place before the main show or primary event.
-
B.
hasFight
Indicates that one entity engages in a physical or verbal conflict with another entity.
-
C.
hasDanceFormation
Indicates that an entity participates in or is arranged into a specific dance formation.
-
D.
hasPreMatchEntertainment
chosen
Indicates that there is entertainment or activities provided before a match or game takes place.
-
E.
hasFightingStance
Indicates that an entity adopts or is characterized by a particular combat or fighting posture.
- 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_69d8278d25148190abf1a8c8f5f533ad |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6585270c8190a717127b2f5dab3b |
completed | April 14, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69de2a88446481909cd526da97a3b70f |
completed | April 14, 2026, 11:52 a.m. |
Created at: April 10, 2026, 1:10 a.m.