Triple
T38570447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Habima Theatre |
E929250
|
entity |
| Predicate | squareLocation |
P66689
|
FINISHED |
| Object | Habima 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: Habima Square | Statement: [Habima Theatre, squareLocation, Habima Square]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: squareLocation Context triple: [Habima Theatre, squareLocation, Habima Square]
-
A.
locationOnSquare
chosen
Indicates that one entity is positioned on a specific square region or cell within a larger spatial grid or board.
-
B.
squareName
Indicates that an entity is identified by or associated with the name of a square (such as a public square or plaza).
-
C.
squareGivenBy
Indicates that one entity is a square (or square-shaped region) that has been specified, defined, or provided by another entity.
-
D.
squareType
Indicates that one entity is classified as a specific type or category of square in relation to another entity.
-
E.
squareNamedAfter
Indicates that a public square is named in honor of, or derived its name from, a particular person, place, event, or 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_69f76ebd2248819083978362d81fa35e |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcdaa36f90819093f8661969990c7d |
completed | May 7, 2026, 6:32 p.m. |
| PD | Predicate disambiguation | batch_69fcd8fefc588190b063d7ea1ec87b07 |
completed | May 7, 2026, 6:25 p.m. |
Created at: May 3, 2026, 4:32 p.m.