Triple
T34863044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World Chess Championship 2004 |
E1004931
|
entity |
| Predicate | openingGameResult |
P191037
|
FINISHED |
| Object | draw |
—
|
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: draw | Statement: [World Chess Championship 2004, openingGameResult, draw]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openingGameResult Context triple: [World Chess Championship 2004, openingGameResult, draw]
-
A.
openingMatchResult
Indicates the outcome or result associated with the opening match in a series, tournament, or competition.
-
B.
openingGame6
Indicates that an entity participates in or is associated with the sixth game in a series, specifically in the context of its opening or initial phase.
-
C.
openingMatch
Indicates that one entity serves as the initial or first match, game, or contest in a series, event, or competition involving another entity.
-
D.
openingRace
Indicates that one race serves as the initial or first event in a sequence of races or a racing competition.
-
E.
openingMatchScore
Indicates the degree of similarity or compatibility between an opening (e.g., a position, role, or opportunity) and a given candidate or item, typically expressed as a numeric score.
- F. None of above. chosen
Provenance (4 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_69f76dbb678081909a247b9b5e1a73ac |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fcd867f36081908c88c55a6a1404c1 |
completed | May 7, 2026, 6:22 p.m. |
| PD | Predicate disambiguation | batch_69fcd1f47b188190b4cf4b4c748d9d03 |
completed | May 7, 2026, 5:55 p.m. |
| PDg | Predicate description generation | batch_69fcd866dd248190bff61c43bee93f54 |
completed | May 7, 2026, 6:22 p.m. |
Created at: May 3, 2026, 4 p.m.