Triple
T38570443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Habima Theatre |
E929250
|
entity |
| Predicate | nationalTheatreOf |
P178953
|
FINISHED |
| Object | Israel |
—
|
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: Israel | Statement: [Habima Theatre, nationalTheatreOf, Israel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nationalTheatreOf Context triple: [Habima Theatre, nationalTheatreOf, Israel]
-
A.
isNationalTheatreOf
chosen
Indicates that a theatre serves as the official national theatre of a specified country or nation.
-
B.
theatreOf
Indicates that an event, action, or operation takes place within or is primarily associated with a particular theatre or venue.
-
C.
hasNationalTheatreStatusSince
Indicates that an entity has held the official status of a national theatre starting from a specified point in time.
-
D.
theatre
Indicates that an entity is a theater or is associated with theatrical performances or activities.
-
E.
theatreNamedAfter
Indicates that a theatre bears the name of a particular person, place, or entity in whose honor or reference it is named.
- 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_69fe779248c081909f0ed1a2a0df23db |
completed | May 8, 2026, 11:53 p.m. |
| PD | Predicate disambiguation | batch_69fe76eaf6d48190998bc7168749cc42 |
completed | May 8, 2026, 11:51 p.m. |
Created at: May 3, 2026, 4:32 p.m.