Triple
T38570446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Habima Theatre |
E929250
|
entity |
| Predicate | hasBuildingOn |
P14728
|
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, hasBuildingOn, Habima Square]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBuildingOn Context triple: [Habima Theatre, hasBuildingOn, Habima Square]
-
A.
hasBuildingFrom
Indicates a relationship where a location or site possesses or includes a building that originates from, or was constructed in, a specified time period, source, or context.
-
B.
containsBuilding
chosen
Indicates that one location or area includes a building within its boundaries.
-
C.
hasBuildingStatus
Indicates the current condition, classification, or operational state assigned to a building.
-
D.
hasBuildingOnIsland
Indicates that a particular building is located on or associated with a specific island.
-
E.
hasBuildingUnderCare
Indicates that an entity is responsible for the maintenance, management, or oversight of a particular building.
- 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_69fd5f29b1988190877764ef2a399c7f |
completed | May 8, 2026, 3:57 a.m. |
| PD | Predicate disambiguation | batch_69fd5e30194c819085b5ce586122ab37 |
completed | May 8, 2026, 3:53 a.m. |
Created at: May 3, 2026, 4:32 p.m.