Triple
T11153347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bahay Tsinoy |
E263839
|
entity |
| Predicate | exhibitFeature |
P41649
|
FINISHED |
| Object | archaeological artifacts |
—
|
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: archaeological artifacts | Statement: [Bahay Tsinoy, exhibitFeature, archaeological artifacts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: exhibitFeature Context triple: [Bahay Tsinoy, exhibitFeature, archaeological artifacts]
-
A.
displaysFeature
chosen
Indicates that one entity presents, shows, or makes visible a particular feature or characteristic of another entity.
-
B.
exhibitTheme
Indicates that something (such as a work, event, or presentation) presents, embodies, or is organized around a particular theme.
-
C.
exhibitStyle
Indicates that an entity displays, demonstrates, or embodies a particular style or manner of expression.
-
D.
exhibitionUse
Indicates that something is used, intended, or designated for display in an exhibition or exhibit context.
-
E.
canExhibit
Indicates that one entity has the ability or potential to display, manifest, or show a particular property, behavior, or characteristic.
- 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_69d6aa9ccddc8190868998c8b7beb060 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e872ffbc8190b8a3bbd912115342 |
completed | April 9, 2026, 5:57 p.m. |
| PD | Predicate disambiguation | batch_69d75ce71944819089eee9b5c9283cbd |
completed | April 9, 2026, 8:01 a.m. |
Created at: April 8, 2026, 9:28 p.m.