Triple
T603233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Albania |
E11539
|
entity |
| Predicate | candidateFor |
P17896
|
FINISHED |
| Object | European Union membership |
—
|
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: European Union membership | Statement: [Albania, candidateFor, European Union membership]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: candidateFor Context triple: [Albania, candidateFor, European Union membership]
-
A.
candidateNomination
Indicates that an individual is formally put forward or proposed as a candidate for a position, role, or office.
-
B.
targetCandidate
Indicates that an entity is being considered or designated as a potential target for selection, action, or further evaluation.
-
C.
couldElect
Indicates that one entity has the potential or ability, under certain conditions or rules, to choose another entity for an office, role, or position through an election.
-
D.
typicalCandidate
Indicates that an entity is a standard or representative example of what is usually considered a candidate in a given context.
-
E.
featuredCandidate
Indicates that a particular candidate is highlighted or given special prominence relative to others.
- 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_69a4932779b881908688590d59c71900 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49e574444819087999404f3e3ffd9 |
completed | March 1, 2026, 8:15 p.m. |
| PD | Predicate disambiguation | batch_69a49cf701e08190966d06b9ff4b582b |
completed | March 1, 2026, 8:09 p.m. |
| PDg | Predicate description generation | batch_69a49e55b2248190b0ae3d692c0fa143 |
completed | March 1, 2026, 8:15 p.m. |
Created at: March 1, 2026, 7:35 p.m.