Triple
T11128036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Primera Partida |
E263199
|
entity |
| Predicate | numberOfPartidasInCode |
P82850
|
FINISHED |
| Object | 7 |
—
|
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: 7 | Statement: [Primera Partida, numberOfPartidasInCode, 7]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfPartidasInCode Context triple: [Primera Partida, numberOfPartidasInCode, 7]
-
A.
nombreDeParties
Indicates the number of parts or segments associated with an entity in the relationship.
-
B.
numberOfGamesInMatch
chosen
Indicates the total count of individual games that make up a single match.
-
C.
numberOfKnownPlays
Indicates the total count of plays that are known to be associated with a given entity (such as an author, theater, or period).
-
D.
numberOfGamesScheduled
Indicates the total count of games that have been planned or arranged for a given entity or time period.
-
E.
matchesPlayedIn
Indicates that a particular match was played in a specified location, event, or competition 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_69d6aa9c0ba08190bbd19c217489b755 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e830e804819097fcc3826d84dab8 |
completed | April 9, 2026, 5:56 p.m. |
| PD | Predicate disambiguation | batch_69d7441efe948190ae4ab020121e169d |
completed | April 9, 2026, 6:15 a.m. |
Created at: April 8, 2026, 9:28 p.m.