Triple
T34873608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World Chess Championship 2006 |
E1005818
|
entity |
| Predicate | numberOfGamesPlanned |
P6413
|
FINISHED |
| Object | 12 |
—
|
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: 12 | Statement: [World Chess Championship 2006, numberOfGamesPlanned, 12]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfGamesPlanned Context triple: [World Chess Championship 2006, numberOfGamesPlanned, 12]
-
A.
numberOfGamesScheduled
chosen
Indicates the total count of games that have been planned or arranged for a given entity or time period.
-
B.
postGamesPlan
Indicates that an entity publishes or shares a plan or strategy related to games after they have concluded.
-
C.
numberPlanned
Indicates that a specific quantity has been scheduled or intended for a future action or allocation.
-
D.
gamesOf
Indicates a relationship where one entity is the set, list, or collection of games associated with another entity.
-
E.
numberOfGamesDepicted
Indicates the total count of distinct games that are shown or represented in the given context.
- 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_69f76dbde1c08190a24e7f9beb564c8d |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c8c34f88190ace26f555827f23e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379ff1ba081908eda86acefcf69fb |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4 p.m.