Triple
T6232125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bowdoin College Museum of Art |
E139380
|
entity |
| Predicate | hasCollectionSpan |
P49868
|
FINISHED |
| Object | ancient to contemporary |
—
|
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: ancient to contemporary | Statement: [Bowdoin College Museum of Art, hasCollectionSpan, ancient to contemporary]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCollectionSpan Context triple: [Bowdoin College Museum of Art, hasCollectionSpan, ancient to contemporary]
-
A.
hasCollection
Indicates that an entity possesses, maintains, or is associated with a set or group of related items treated as a collection.
-
B.
hasCollectionFromPeriod
chosen
Indicates that a collection originates from, or is associated with, a specific historical or temporal period.
-
C.
hasCollectionAt
Indicates that a collection or gathering of items, data, or resources is located, stored, or maintained at a specific place or context.
-
D.
isSpanning
Indicates that one entity extends across, covers, or bridges the full width, extent, or duration of another entity.
-
E.
hasCollectionFrom
Indicates that an entity possesses or maintains a collection that originates from, or is sourced from, another specified entity.
- 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_69c008b0e7ac8190808a59573ee646f3 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062ee6f088190bf72692eb8ffb761 |
completed | March 22, 2026, 9:45 p.m. |
| PD | Predicate disambiguation | batch_69c05601de6481909d0880048fd7b49a |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:22 p.m.