Triple
T32145368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | International Hotel |
E821008
|
entity |
| Predicate | hasSocialMovementTheme |
P188443
|
FINISHED |
| Object | housing rights |
—
|
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: housing rights | Statement: [International Hotel, hasSocialMovementTheme, housing rights]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSocialMovementTheme Context triple: [International Hotel, hasSocialMovementTheme, housing rights]
-
A.
hasPopularMovement
Indicates that an entity is associated with or gives rise to a widely supported social, political, or cultural movement.
-
B.
popularMovement
Indicates a large-scale social or political movement that gains widespread support and participation among the general population.
-
C.
hasProtestMovement
Indicates that an entity is associated with, or gives rise to, an organized protest movement opposing or advocating change related to it.
-
D.
advocacyMovement
Indicates that an entity actively supports, promotes, or works to advance a particular social, political, or ideological movement.
-
E.
broaderMovement
Indicates that one movement is a more general, encompassing movement within which another, more specific movement is situated.
- 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_69f3490520d081909b2f1271dab75faa |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fba78aca4c8190b8f1831e8cc04e06 |
completed | May 6, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69fba34a65a4819088bac6c17542d71c |
completed | May 6, 2026, 8:23 p.m. |
| PDg | Predicate description generation | batch_69fba789c1188190973a919bfe2871f3 |
completed | May 6, 2026, 8:41 p.m. |
Created at: May 1, 2026, 12:31 a.m.