Triple
T26027947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fire and Water Fountain |
E647342
|
entity |
| Predicate | isInPublicSquare |
P27492
|
FINISHED |
| Object | Dizengoff Square |
—
|
NE NERFINISHED |
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: Dizengoff Square | Statement: [Fire and Water Fountain, isInPublicSquare, Dizengoff Square]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isInPublicSquare Context triple: [Fire and Water Fountain, isInPublicSquare, Dizengoff Square]
-
A.
hasPublicSquareInFront
Indicates that a building or structure has a public square located directly in front of it.
-
B.
isOnTownSquare
Indicates that one entity is located on or within the area designated as the town square of a settlement.
-
C.
isInPublicSpace
chosen
Indicates that an entity is located within a space that is publicly accessible or open to the general public.
-
D.
isPublicBuilding
Indicates that a building is designated for public use, access, or service rather than being privately owned or restricted.
-
E.
locatedInTimeSquareArea
Indicates that the entity is situated within the geographic area commonly defined as Times Square.
- 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_69e77e8b60e88190a3b26c4f0032a2c2 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f605ed5f548190a7005476187e8a57 |
completed | May 2, 2026, 2:10 p.m. |
| PD | Predicate disambiguation | batch_69f5aff889988190ad10bcf1a280f717 |
completed | May 2, 2026, 8:04 a.m. |
Created at: April 22, 2026, 9:05 a.m.