Triple
T3688383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neve Tzedek |
E78279
|
entity |
| Predicate | hasArtVenue |
P2428
|
FINISHED |
| Object | art galleries |
—
|
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: art galleries | Statement: [Neve Tzedek, hasArtVenue, art galleries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasArtVenue Context triple: [Neve Tzedek, hasArtVenue, art galleries]
-
A.
hasArtGallery
chosen
Indicates that one entity possesses, contains, or hosts an art gallery as part of its facilities or offerings.
-
B.
hasArtCooperative
Indicates that an entity participates in, is affiliated with, or is a member of an art-focused cooperative organization.
-
C.
hasArtInstallation
Indicates that an entity features or contains an art installation as part of its space or composition.
-
D.
hasArtCenter
Indicates that an entity possesses, hosts, or includes an art center as one of its facilities or components.
-
E.
hasArtFacilities
Indicates that an entity provides or is equipped with facilities or resources dedicated to art-related activities.
- 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_69ad85e285a081908f8cbfa9e2ed9b75 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc4c960788190b73ede08658846aa |
completed | March 8, 2026, 6:49 p.m. |
| PD | Predicate disambiguation | batch_69adb84be1fc81909721c871babb4633 |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:26 p.m.