Triple
T4265015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sinulog Festival |
E96803
|
entity |
| Predicate | formalOrganizationEstablished |
P9196
|
FINISHED |
| Object | 1980s |
—
|
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: 1980s | Statement: [Sinulog Festival, formalOrganizationEstablished, 1980s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formalOrganizationEstablished Context triple: [Sinulog Festival, formalOrganizationEstablished, 1980s]
-
A.
officeEstablishedWith
Indicates that an office or formal workplace was created or set up through the involvement, authorization, or collaboration of the associated entity or entities.
-
B.
establishedAt
chosen
Indicates the specific time or date at which something (such as an organization, system, or entity) was founded or brought into existence.
-
C.
organizationTypeFounded
Indicates the type or category of organization that was established or created in a founding event.
-
D.
officeEstablishedIn
Indicates that an office or official position was created or formally established in a specific time or place.
-
E.
organizationFounded
Indicates that an organization was established or created at a specific point in time, often by a particular founder or founding entity.
- 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_69b34543f06c8190915ebb1a4574ffa9 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34fcad0a881908e1cac0a6da5a321 |
completed | March 12, 2026, 11:44 p.m. |
| PD | Predicate disambiguation | batch_69b347f8dcb08190a725c1f7fb5a7466 |
completed | March 12, 2026, 11:10 p.m. |
Created at: March 12, 2026, 11:06 p.m.