Triple
T16264658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abram Stevens Hewitt |
E394842
|
entity |
| Predicate | termEndAsMayor |
P122423
|
FINISHED |
| Object | 1888 |
—
|
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: 1888 | Statement: [Abram Stevens Hewitt, termEndAsMayor, 1888]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: termEndAsMayor Context triple: [Abram Stevens Hewitt, termEndAsMayor, 1888]
-
A.
termEndAsMayorOfLosAngeles
Indicates that a person’s tenure serving as the mayor of Los Angeles has concluded.
-
B.
hasMayorTerm
Indicates that a specified individual holds or has held the office of mayor for a particular jurisdiction during a defined term.
-
C.
numberOfTermsAsMayor
Indicates the number of distinct terms an individual has served in the role of mayor.
-
D.
termEndAsMayorOfJerusalem
Indicates the point in time when an individual's tenure serving as mayor of Jerusalem concludes.
-
E.
termEndAsMayorOfFortDeFrance
Indicates the time at which an individual's tenure serving as mayor of Fort-de-France concludes.
- 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_69d87f221d8081909b0b2063e7528ba2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e245c73944819085633e6d2a69bae9 |
completed | April 17, 2026, 2:37 p.m. |
| PD | Predicate disambiguation | batch_69e219f259e88190bf49d8408c04178e |
completed | April 17, 2026, 11:30 a.m. |
| PDg | Predicate description generation | batch_69e21e56e0348190a3d9475360231a70 |
completed | April 17, 2026, 11:49 a.m. |
Created at: April 10, 2026, 5:05 a.m.