Triple
T5812227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huaca de la Luna |
E128895
|
entity |
| Predicate | hasInterpretationCenter |
P57384
|
FINISHED |
| Object | site museum |
—
|
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: site museum | Statement: [Huaca de la Luna, hasInterpretationCenter, site museum]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInterpretationCenter Context triple: [Huaca de la Luna, hasInterpretationCenter, site museum]
-
A.
hasInterpretiveCenters
chosen
Indicates that an entity possesses or is associated with one or more interpretive centers that provide information, explanation, or context about it.
-
B.
isReferralCenterFor
Indicates that one entity serves as a designated center to which other entities send or direct cases, clients, or tasks for specialized services or handling.
-
C.
isServiceCentreFor
Indicates that one entity functions as a service center that provides support, maintenance, or related services for another entity.
-
D.
hasServiceCenter
Indicates that an entity maintains or is associated with a service center that provides support, repair, or maintenance services.
-
E.
hasInterpretiveService
Indicates that an entity provides or is associated with interpretive services (such as translation, sign language, or explanatory guidance) for another entity or context.
- 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_69c0084788848190bcf71f6bc5d71597 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02b54c2848190bb85212689d0b511 |
completed | March 22, 2026, 5:48 p.m. |
| PD | Predicate disambiguation | batch_69c021d5ecd081908a62dd66e26f8598 |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:52 p.m.