Triple
T26659878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fordyce Bathhouse |
E666611
|
entity |
| Predicate | closedAsBathhouse |
P165863
|
FINISHED |
| Object | 1962 |
—
|
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: 1962 | Statement: [Fordyce Bathhouse, closedAsBathhouse, 1962]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: closedAsBathhouse Context triple: [Fordyce Bathhouse, closedAsBathhouse, 1962]
-
A.
closedAsHotel
Indicates that an establishment ceased operating in general and specifically stopped functioning as a hotel.
-
B.
closedAsPlayhouse
Indicates that a venue or building ceased operations specifically in its function as a playhouse or theater.
-
C.
closedDuring
Indicates that an entity is not open or available for use during a specified time period or under certain conditions.
-
D.
closedAsPrison
Indicates that a facility or location was shut down specifically for use as a prison or place of incarceration.
-
E.
closedAs
Indicates that one entity has been brought to an end, resolved, or made no longer active as a result of another entity or action.
- 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_69ee9cf8c7188190b9b00270a8a89164 |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f65b14512c8190a40e70319dcc54cd |
completed | May 2, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69f659cc571c819097e51e531961d812 |
completed | May 2, 2026, 8:08 p.m. |
| PDg | Predicate description generation | batch_69f65a9cb0bc8190bf8a9b319900bad5 |
completed | May 2, 2026, 8:12 p.m. |
Created at: April 27, 2026, 2:36 a.m.