Triple
T21750046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marilao, Bulacan |
E536889
|
entity |
| Predicate | hasLocalFiesta |
P3113
|
FINISHED |
| Object | feast of the National Shrine of the Divine Mercy |
—
|
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: feast of the National Shrine of the Divine Mercy | Statement: [Marilao, Bulacan, hasLocalFiesta, feast of the National Shrine of the Divine Mercy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLocalFiesta Context triple: [Marilao, Bulacan, hasLocalFiesta, feast of the National Shrine of the Divine Mercy]
-
A.
hasFestival
chosen
Indicates that a location, community, or entity hosts or holds a festival or celebratory event.
-
B.
hasCulturalEvent
Indicates that a cultural event (such as a festival, performance, or exhibition) takes place in, is associated with, or is hosted by a given entity.
-
C.
hasFestivalSite
Indicates that a location or site is designated or used as the venue where a festival takes place.
-
D.
hasParades
Indicates that an entity regularly holds or hosts parades as events or activities.
-
E.
hasLocalFeastMonth
Indicates that a particular location or community observes a local feast or festival during a specified month.
- 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_69e0c46eab808190b848242d63a17c47 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f01a79fb74819098a247c4f31598a8 |
completed | April 28, 2026, 2:24 a.m. |
| PD | Predicate disambiguation | batch_69e6969c16fc8190b5126c169317d85d |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:50 p.m.