Triple
T3320498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | May Fair |
E69782
|
entity |
| Predicate | reasonForSuppression |
P47269
|
FINISHED |
| Object | rowdiness |
—
|
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: rowdiness | Statement: [May Fair, reasonForSuppression, rowdiness]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reasonForSuppression Context triple: [May Fair, reasonForSuppression, rowdiness]
-
A.
suspensionReason
Indicates the reason or cause for which an entity has been suspended from a status, activity, or service.
-
B.
statedReason
Indicates that one entity expresses or provides another entity as the explanation, justification, or motive for an action, event, or claim.
-
C.
reasonForElimination
Indicates the specific cause or justification for why an entity was removed, disqualified, or excluded from consideration.
-
D.
protectionReason
Indicates the justification or cause for which protection is provided or required in the relationship between entities.
-
E.
reasonForDecline
Indicates the explanation or cause given for why something was rejected, reduced, or not accepted.
- 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_69ad85a0bb048190a5458d2738012d61 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb13a4e948190841134d6ae6ef432 |
completed | March 8, 2026, 5:26 p.m. |
| PD | Predicate disambiguation | batch_69ada42a19348190a3862ce02451f4aa |
completed | March 8, 2026, 4:30 p.m. |
| PDg | Predicate description generation | batch_69ada52716ec81908e89688a81039394 |
completed | March 8, 2026, 4:34 p.m. |
Created at: March 8, 2026, 3:11 p.m.