Triple
T26028173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Declaration Hall |
E647347
|
entity |
| Predicate | laterFunctionOfBuilding |
P178567
|
FINISHED |
| Object | Tel Aviv Museum of Art |
—
|
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: Tel Aviv Museum of Art | Statement: [Declaration Hall, laterFunctionOfBuilding, Tel Aviv Museum of Art]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laterFunctionOfBuilding Context triple: [Declaration Hall, laterFunctionOfBuilding, Tel Aviv Museum of Art]
-
A.
laterConstruction
Indicates that one construction event or structure occurred or was built after another in time.
-
B.
functionInBuilding
Indicates that a specific function, role, or use is carried out within a particular building.
-
C.
seatBuildingFunction
Indicates that a building or structure serves a seating-related function, such as providing places for people to sit or be accommodated.
-
D.
attachedBuilding
Indicates that one building is physically connected to or joined with another building as part of the same structural complex.
-
E.
buildingFunctionDuring
Indicates the role or purpose a building serves during a specified time period or interval.
- F. None of above. chosen
Provenance (4 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_69f7117e55908190a67105e92bc4830f |
completed | May 3, 2026, 9:12 a.m. |
| PD | Predicate disambiguation | batch_69f70f380690819090cc34763ba460ed |
completed | May 3, 2026, 9:02 a.m. |
| PDg | Predicate description generation | batch_69f7117cf2188190b29e36fc1e342c60 |
completed | May 3, 2026, 9:12 a.m. |
Created at: April 22, 2026, 9:05 a.m.