Triple
T7304384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fine Arts Work Center in Provincetown |
E167937
|
entity |
| Predicate | seasonOfMainResidency |
P76103
|
FINISHED |
| Object | winter |
—
|
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: winter | Statement: [Fine Arts Work Center in Provincetown, seasonOfMainResidency, winter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seasonOfMainResidency Context triple: [Fine Arts Work Center in Provincetown, seasonOfMainResidency, winter]
-
A.
residencyLocation
Indicates the place where an entity lives or maintains its primary residence.
-
B.
residencyPattern
Indicates the typical way an entity resides or occupies a place over time, such as its usual location, duration, or frequency of stay.
-
C.
residencyStatus
Indicates the legal or official residential classification of an entity within a particular jurisdiction or context.
-
D.
residencyCity
Indicates the city in which an entity resides or has their primary place of residence.
-
E.
residenceDuringCareer
Indicates the place where an individual lived for a significant period while pursuing their professional career.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69c6eb2d4c0c8190b4cc6fdfdb7f4827 |
completed | March 27, 2026, 8:40 p.m. |
Created at: March 27, 2026, 3:01 p.m.