Triple
T7304383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fine Arts Work Center in Provincetown |
E167937
|
entity |
| Predicate | hasDurationOfFellowships |
P49263
|
FINISHED |
| Object | seven months |
—
|
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: seven months | Statement: [Fine Arts Work Center in Provincetown, hasDurationOfFellowships, seven months]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDurationOfFellowships Context triple: [Fine Arts Work Center in Provincetown, hasDurationOfFellowships, seven months]
-
A.
fundingPeriod
chosen
Indicates the time span or duration for which funding is allocated, active, or valid within a financial or grant-related relationship.
-
B.
residencyDuration
Indicates the length of time an entity has continuously resided or stayed in a particular place or jurisdiction.
-
C.
hasDoctoralProgram
Indicates that an institution or academic unit offers and administers a doctoral-level degree program.
-
D.
occupationDuration
Indicates the length of time an entity holds or has held a particular occupation or role.
-
E.
hasOrganScholarships
Indicates that an entity offers or provides scholarships specifically related to organ study or performance.
- 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_69c6888c820881909fc68f689fe1c251 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6ebb352ec8190846eff044e08805e |
completed | March 27, 2026, 8:42 p.m. |
| PD | Predicate disambiguation | batch_69c6e76e67d88190bd3ca6864f45845a |
completed | March 27, 2026, 8:24 p.m. |
Created at: March 27, 2026, 3:01 p.m.