Triple
T739837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maine State Museum |
E15217
|
entity |
| Predicate | collectionArea |
P17067
|
FINISHED |
| Object | Maine history and culture |
—
|
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: Maine history and culture | Statement: [Maine State Museum, collectionArea, Maine history and culture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: collectionArea Context triple: [Maine State Museum, collectionArea, Maine history and culture]
-
A.
collectingArea
Indicates the total surface area over which something (typically a device or system) gathers or receives a substance, signal, or resource.
-
B.
collectionScope
chosen
Indicates the extent, boundaries, or range over which a collection (such as a set of items, data, or resources) is defined or intended to apply.
-
C.
collects
Indicates that one entity gathers, accumulates, or brings together one or more other entities into its possession or control.
-
D.
collectibleAspect
Indicates that one entity represents a collectible-related characteristic, feature, or dimension associated with another entity.
-
E.
cultLocation
Indicates that a cult or religious group is based in, practices in, or is primarily associated with a particular location.
- 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_69a49358aa308190adbc9b5a0a2adcf9 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a64adf2c81908e48090be35dd9d9 |
completed | March 1, 2026, 8:49 p.m. |
| PD | Predicate disambiguation | batch_69a4a4fc734c81908fbd36386d5746d6 |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:37 p.m.