Triple
T26314543
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malcolm Wilson Bridge |
E661927
|
entity |
| Predicate | namedAfterOfficeholder |
P163721
|
FINISHED |
| Object | Governor of New York |
—
|
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: Governor of New York | Statement: [Malcolm Wilson Bridge, namedAfterOfficeholder, Governor of New York]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: namedAfterOfficeholder Context triple: [Malcolm Wilson Bridge, namedAfterOfficeholder, Governor of New York]
-
A.
lastOfficeHolderLaterBecame
Indicates that the person who most recently held a given office subsequently went on to hold another specified office or role.
-
B.
successorOfficeHolder
Indicates that one office holder directly follows another in occupying the same official position.
-
C.
namedAfterCountryLeaderOf
Indicates that one entity is named after a person who is or was the leader of a specific country.
-
D.
officeHolderOf
Indicates that a person holds or has held an official position or role within a specified organization, institution, or office.
-
E.
officeHolderBecame
Indicates that an individual assumed or transitioned into holding a particular office or official position.
- 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_69ee812e73048190aae587f1d51e5a06 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f6397b64f881909d811225e57aac5e |
completed | May 2, 2026, 5:50 p.m. |
| PD | Predicate disambiguation | batch_69f63706b6008190993577193c85ff50 |
completed | May 2, 2026, 5:40 p.m. |
| PDg | Predicate description generation | batch_69f638d029148190877c103f0eeaf147 |
completed | May 2, 2026, 5:48 p.m. |
Created at: April 26, 2026, 10:24 p.m.