Triple
T11108405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fryeburg Academy |
E262691
|
entity |
| Predicate | hasScienceLabs |
P95234
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Fryeburg Academy, hasScienceLabs, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasScienceLabs Context triple: [Fryeburg Academy, hasScienceLabs, true]
-
A.
hasScienceCenter
Indicates that an entity possesses, hosts, or includes a science center as one of its facilities or components.
-
B.
hasResearchInfrastructure
Indicates that an entity possesses, controls, or provides access to facilities, equipment, or resources used to conduct research.
-
C.
hasScienceRack
Indicates that an entity is equipped with or includes a designated rack used for holding or organizing scientific equipment or materials.
-
D.
relatedLaboratory
chosen
Indicates that one entity has an associated or connected laboratory, such as a facility used for its research, testing, or experimental activities.
-
E.
hasResearchCenters
Indicates that an entity possesses, hosts, or is associated with one or more research centers.
- 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_69d6aa9b46cc8190b19f9f0cc45bf322 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79a67d10c8190815d4c27d55270e8 |
completed | April 9, 2026, 12:24 p.m. |
| PD | Predicate disambiguation | batch_69d7441cf8188190b8095f622c923156 |
completed | April 9, 2026, 6:15 a.m. |
Created at: April 8, 2026, 9:27 p.m.