Triple
T11907183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dino Institute |
E283299
|
entity |
| Predicate | hasBuildingTypeInPark |
P50464
|
FINISHED |
| Object | museum-like facility |
—
|
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: museum-like facility | Statement: [Dino Institute, hasBuildingTypeInPark, museum-like facility]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBuildingTypeInPark Context triple: [Dino Institute, hasBuildingTypeInPark, museum-like facility]
-
A.
hasTypeOfPark
Indicates that an entity is associated with or classified by a specific type or category of park.
-
B.
containsBuildingType
chosen
Indicates that a location or area includes at least one building of the specified type.
-
C.
containsBuilding
Indicates that one location or area includes a building within its boundaries.
-
D.
isWithinPark
Indicates that one entity is located inside the boundaries of a park that contains it.
-
E.
inPark
Indicates that one entity is located within or inside the boundaries of a park.
- 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_69d6ab2c07e88190ba13b0d21fd6cf33 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8e5264b2081909bda6c24abb89725 |
completed | April 10, 2026, 11:55 a.m. |
| PD | Predicate disambiguation | batch_69d8bb3632ac8190b13e53c2b5db7125 |
completed | April 10, 2026, 8:56 a.m. |
Created at: April 8, 2026, 9:44 p.m.