Triple
T4355413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saenger Theatre Mobile |
E98134
|
entity |
| Predicate | yearAddedToNRHPDistrict |
P53609
|
FINISHED |
| Object | 1979 |
—
|
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: 1979 | Statement: [Saenger Theatre Mobile, yearAddedToNRHPDistrict, 1979]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearAddedToNRHPDistrict Context triple: [Saenger Theatre Mobile, yearAddedToNRHPDistrict, 1979]
-
A.
addedToNRHP
Indicates that something has been officially listed on the National Register of Historic Places.
-
B.
nationalHistoricLandmarkDesignationYear
Indicates the year in which an entity was officially designated as a National Historic Landmark.
-
C.
nationalRegisterOfHistoricPlacesListingYear
chosen
Indicates the year in which an entity was officially listed in the National Register of Historic Places.
-
D.
NationalHistoricLandmarkDesignationDate
Indicates the date on which something was officially designated as a National Historic Landmark.
-
E.
NRHPListingDate
Indicates the date on which something was officially listed in the National Register of Historic Places.
- 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_69b3454965f881908c41190bb22f0e4b |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b351c5773481908446d84897e7a533 |
completed | March 12, 2026, 11:52 p.m. |
| PD | Predicate disambiguation | batch_69b34f51ed7c8190b7bf5f44b56b730d |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:16 p.m.