Triple
T945410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apollo Theater |
E20399
|
entity |
| Predicate | yearDesignatedNYCLandmark |
P1733
|
FINISHED |
| Object | 1983 |
—
|
LITERAL FINISHED |
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: 1983 | Statement: [Apollo Theater, yearDesignatedNYCLandmark, 1983]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearDesignatedNYCLandmark Context triple: [Apollo Theater, yearDesignatedNYCLandmark, 1983]
-
A.
designatedNYCLandmark
chosen
Indicates that an entity has been officially designated as a New York City landmark by the appropriate municipal authority.
-
B.
designatedChicagoLandmark
Indicates that an entity has been officially recognized and designated as a Chicago landmark.
-
C.
designatedNationalHistoricLandmark
Indicates that an entity has been officially recognized and assigned status as a national historic landmark by the appropriate authority.
-
D.
isBoroughSeatOf
Indicates that a place serves as the administrative center or seat of government for a specific borough.
-
E.
monumentProclamationYear
Indicates the year in which a monument was officially proclaimed or designated as such.
- 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_69a493b0f2fc81908cd227480a5356a1 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b3a61b648190b1b6c932e047e161 |
completed | March 1, 2026, 9:46 p.m. |
| PD | Predicate disambiguation | batch_69a4b29dc8dc8190b9d33f70f8563d61 |
completed | March 1, 2026, 9:41 p.m. |
Created at: March 1, 2026, 7:40 p.m.