Triple
T15527377
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peñafiel |
E369116
|
entity |
| Predicate | squareUse |
P119032
|
FINISHED |
| Object | traditional festivities |
—
|
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: traditional festivities | Statement: [Peñafiel, squareUse, traditional festivities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: squareUse Context triple: [Peñafiel, squareUse, traditional festivities]
-
A.
squareProperty
Indicates that one entity is the square (second power) of a numerical property or value associated with another entity.
-
B.
squareName
Indicates that an entity is identified by or associated with the name of a square (such as a public square or plaza).
-
C.
mainSquare
Indicates that a location serves as the primary or central public square of a town or city.
-
D.
squareOriginalName
Indicates that the entity’s name is the original, canonical name of a square (e.g., a public square or plaza), as opposed to an alternate or derived name.
-
E.
roofArea
Indicates the total surface area covered by the roof of a structure.
- 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_69d85a1794cc8190b0b428716296e63e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0414620588190958ffde651ccab5f |
completed | April 16, 2026, 1:54 a.m. |
| PD | Predicate disambiguation | batch_69ded28ab0588190a47a9090d1238707 |
completed | April 14, 2026, 11:49 p.m. |
| PDg | Predicate description generation | batch_69ded57165288190979b7acb71ad5145 |
completed | April 15, 2026, 12:01 a.m. |
Created at: April 10, 2026, 4:05 a.m.