Triple
T4636457
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baguio |
E101543
|
entity |
| Predicate | PanagbengaFestivalHeldIn |
P57878
|
FINISHED |
| Object | February |
—
|
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: February | Statement: [Baguio, PanagbengaFestivalHeldIn, February]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: PanagbengaFestivalHeldIn Context triple: [Baguio, PanagbengaFestivalHeldIn, February]
-
A.
festivalHeldIn
Indicates that a festival takes place or is hosted at a specific location or venue.
-
B.
festivalObserved
Indicates that a particular festival is celebrated, observed, or commemorated by an entity (such as a person, group, or community).
-
C.
exampleFestival
Indicates that an entity is an instance or example of a particular festival event or type of festival.
-
D.
seCelebraEn
Indicates that an event or occasion takes place or is held at a specific location or venue.
-
E.
mainFestival
Indicates that an event is the primary or central festival associated with a particular context, place, or entity.
- 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_69bd43d2f1c081908cd4b7ec48ecc73d |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5a62a9e48190b0cf1cbcc51f00c0 |
completed | March 20, 2026, 2:32 p.m. |
| PD | Predicate disambiguation | batch_69bd5233cb5081908807e2b150f0ca06 |
completed | March 20, 2026, 1:57 p.m. |
| PDg | Predicate description generation | batch_69bd56f7b94481909f3335312becd446 |
completed | March 20, 2026, 2:17 p.m. |
Created at: March 20, 2026, 1:13 p.m.