Triple
T29094055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brighton Pavilion |
E734939
|
entity |
| Predicate | firstGreenMPElected |
P202482
|
FINISHED |
| Object | 2010 |
—
|
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: 2010 | Statement: [Brighton Pavilion, firstGreenMPElected, 2010]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstGreenMPElected Context triple: [Brighton Pavilion, firstGreenMPElected, 2010]
-
A.
firstElectedBy
Indicates the group, body, or electorate that initially chose or voted a person into a particular office or position.
-
B.
founderElectedAs
Indicates that an individual who founded an organization is subsequently chosen or appointed to hold a formal position or office within that same organization.
-
C.
panGreenCandidate
Indicates that an individual is a political candidate affiliated with the Pan-Green coalition.
-
D.
wonFirstDemocraticElection
Indicates that the subject achieved victory in the first democratic election held for a given office, position, or context.
-
E.
firstElectionAfter
Indicates that one election is the earliest election that occurs after another specified election.
- 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_69f05b0ed66481908f2e864fa550d2f1 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_6a0087de41c48190b2743a26b6d65409 |
completed | May 10, 2026, 1:27 p.m. |
| PD | Predicate disambiguation | batch_6a00870a8bc48190be1385579b8cc1dd |
completed | May 10, 2026, 1:24 p.m. |
| PDg | Predicate description generation | batch_6a0087dd79788190911609d406255be3 |
completed | May 10, 2026, 1:27 p.m. |
Created at: April 28, 2026, 11:07 a.m.