Triple
T29928206
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Concurs de Castells de Tarragona |
E760140
|
entity |
| Predicate | competitionCriteria |
P216
|
FINISHED |
| Object | height of the tower |
—
|
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: height of the tower | Statement: [Concurs de Castells de Tarragona, competitionCriteria, height of the tower]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: competitionCriteria Context triple: [Concurs de Castells de Tarragona, competitionCriteria, height of the tower]
-
A.
compositionCriterion
Indicates the rule or standard by which components are selected, combined, or arranged to form a whole.
-
B.
awardCriteria
chosen
Indicates the standards or conditions used to determine eligibility for receiving an award or recognition.
-
C.
ratingCriteria
Indicates the standards or factors used to evaluate and assign a rating to something.
-
D.
competitiveDiscipline
Indicates a relationship where an entity participates in or is associated with a structured, rule-based activity or field in which individuals or groups compete against each other.
-
E.
competitiveCategory
Indicates that two entities belong to the same market or activity segment in which they compete with one another.
- 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_69f224631674819080c8d089674f9f4f |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f707f7959881908f037f0d6b1d0c36 |
completed | May 3, 2026, 8:31 a.m. |
| PD | Predicate disambiguation | batch_69f700fc274c8190a128593dc7c7abd0 |
completed | May 3, 2026, 8:02 a.m. |
Created at: April 29, 2026, 6:17 p.m.