Triple
T32794375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ferry laws on primary education |
E838716
|
entity |
| Predicate | governmentPositionOfNamesake |
P201161
|
FINISHED |
| Object | Minister of Public Instruction |
—
|
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: Minister of Public Instruction | Statement: [Ferry laws on primary education, governmentPositionOfNamesake, Minister of Public Instruction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: governmentPositionOfNamesake Context triple: [Ferry laws on primary education, governmentPositionOfNamesake, Minister of Public Instruction]
-
A.
positionOfNamesake
Indicates that one entity occupies the role, rank, or spatial/organizational position associated with another entity for which it is named.
-
B.
politicalAffiliationOfNamesake
Indicates the political affiliation associated with the person or entity after whom something is named.
-
C.
namedForPoliticalFigure
Indicates that one entity is named in honor of, or after, a specific political figure.
-
D.
hasNamesakePositionHeld
chosen
Indicates that one entity has held a position or office that is also held (or was held) by another entity with the same name.
-
E.
governorateNamedAfter
Indicates that a governorate derives its name from a particular person, place, or entity.
- 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_69f3493c7f6881908edf2aa13631d1e0 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a006fe981488190b4287289a3327664 |
completed | May 10, 2026, 11:45 a.m. |
| PD | Predicate disambiguation | batch_6a006f6976ec8190ba2c04fbaa946345 |
completed | May 10, 2026, 11:43 a.m. |
Created at: May 1, 2026, 1:14 a.m.