Triple
T15117801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Midlands mayoral election, 2017 |
E361086
|
entity |
| Predicate | inauguralElection |
P67761
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [West Midlands mayoral election, 2017, inauguralElection, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inauguralElection Context triple: [West Midlands mayoral election, 2017, inauguralElection, true]
-
A.
isInauguralElectionFor
chosen
Indicates that an election is the first (inaugural) occurrence held for a particular office, position, or governing body.
-
B.
inauguratedBy
Indicates that an official event, institution, or position was formally opened, initiated, or brought into operation by a specific person or authority.
-
C.
inauguralEvent
Indicates that an event is the first in a series or marks the formal beginning of a recurring activity, program, or institution.
-
D.
firstElectedPresident
Indicates that the subject became the first person ever elected to the office of president of the specified entity or organization.
-
E.
inauguralHolder
Indicates that the subject is the first person or entity to hold a particular position, title, office, or role.
- F. None of above.
Provenance (3 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_69d85a0491ec8190830960be8fafb994 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0059ca9048190b742e70e818ee64f |
completed | April 15, 2026, 9:39 p.m. |
| PD | Predicate disambiguation | batch_69deb96c1d9c81909351558ed97bc5b7 |
completed | April 14, 2026, 10:02 p.m. |
Created at: April 10, 2026, 3:05 a.m.