Triple
T17151893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frick Chemistry Laboratory |
E416240
|
entity |
| Predicate | typeOfInstitutionalAsset |
P15055
|
FINISHED |
| Object | science 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: science facility | Statement: [Frick Chemistry Laboratory, typeOfInstitutionalAsset, science facility]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfInstitutionalAsset Context triple: [Frick Chemistry Laboratory, typeOfInstitutionalAsset, science facility]
-
A.
typeOfInstitution
Indicates the specific kind or category of institution that an entity belongs to or is classified as.
-
B.
insuredInstitutionType
Indicates the type or category of institution that is covered under an insurance arrangement or policy.
-
C.
assetType
chosen
Indicates the specific category or classification of an asset within a broader asset framework or system.
-
D.
governsInstitutionType
Indicates that an entity has authoritative control or regulatory oversight over a particular type or category of institution.
-
E.
hasInstitutionalSector
Indicates that an entity is associated with, classified under, or belongs to a particular institutional sector within an economic, organizational, or regulatory framework.
- 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_69d886d279c081909f8ff1f743ddeb69 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f40775848190ada44742c0113ab3 |
completed | April 18, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69e3830d2a90819092386717dc56f0e8 |
completed | April 18, 2026, 1:11 p.m. |
Created at: April 10, 2026, 5:36 a.m.