Triple
T3346159
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Las Fallas |
E70378
|
entity |
| Predicate | participantsCalled |
P6049
|
FINISHED |
| Object | falleros |
—
|
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: falleros | Statement: [Las Fallas, participantsCalled, falleros]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: participantsCalled Context triple: [Las Fallas, participantsCalled, falleros]
-
A.
hasParticipants
Indicates that an event, activity, or situation involves one or more entities as participants in it.
-
B.
numberOfParticipants
Indicates the total count of entities involved in a particular event, activity, or relationship.
-
C.
eventParticipant
Indicates that an entity takes part in, is involved in, or participates in a particular event.
-
D.
participantFrom
Indicates that a participant originates from, is associated with, or comes out of a specified source, group, or context.
-
E.
membersCalled
chosen
Indicates that specific members of a group or collection are being referred to or identified by a particular name or label.
- 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_69ad85a405e48190b6e68de7cf9f319e |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb1f4ff888190bf14b9b7fbe9bcee |
completed | March 8, 2026, 5:29 p.m. |
| PD | Predicate disambiguation | batch_69ada42df1d48190874bb05f95deefde |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:12 p.m.