Triple
T5406101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richard J. Riordan |
E120895
|
entity |
| Predicate | termEndAsMayorOfLosAngeles |
P63234
|
FINISHED |
| Object | 2001 |
—
|
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: 2001 | Statement: [Richard J. Riordan, termEndAsMayorOfLosAngeles, 2001]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: termEndAsMayorOfLosAngeles Context triple: [Richard J. Riordan, termEndAsMayorOfLosAngeles, 2001]
-
A.
numberOfTermsAsMayor
Indicates the number of distinct terms an individual has served in the role of mayor.
-
B.
mayoralTermStart
Indicates the date or point in time when an individual's tenure as mayor officially begins.
-
C.
wonMayoraltyOf
Indicates that one entity won the election to become mayor of a specified place or jurisdiction.
-
D.
endTime (as Mayor of Detroit)
Indicates the date and time at which a person’s tenure as Mayor of Detroit concludes.
-
E.
termAsMayorOfBordeauxEnd
Indicates the ending time or conclusion of an individual's term serving as mayor of Bordeaux.
- 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_69bd46391c0c81909fa484446732b6a3 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd87924c588190beb4a1be27f8d11b |
completed | March 20, 2026, 5:44 p.m. |
| PD | Predicate disambiguation | batch_69bd8467e6b48190b9eaa9de67072e06 |
completed | March 20, 2026, 5:31 p.m. |
| PDg | Predicate description generation | batch_69bd865702ec8190831bde2c2a331f28 |
completed | March 20, 2026, 5:39 p.m. |
Created at: March 20, 2026, 2:05 p.m.