Triple
T28099945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean-Luc Mélenchon – 2012 French presidential election |
E710202
|
entity |
| Predicate | positionInResults |
P188775
|
FINISHED |
| Object | fourth place |
—
|
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: fourth place | Statement: [Jean-Luc Mélenchon – 2012 French presidential election, positionInResults, fourth place]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionInResults Context triple: [Jean-Luc Mélenchon – 2012 French presidential election, positionInResults, fourth place]
-
A.
positionSought
Indicates the specific role, job, or position that an entity is aiming to obtain or apply for.
-
B.
positionOnOutcome
Indicates the stance or viewpoint an entity holds regarding a particular outcome or result.
-
C.
positionInCase
Indicates the specific role, status, or placement that an entity holds within a particular case or legal proceeding.
-
D.
positionIncluded
Indicates that one position or spatial region is entirely contained within another position or spatial region.
-
E.
positionInPerformance
Indicates the specific ordering or placement of an entity within a performance or sequence of performed elements.
- 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_69ef9b70fd108190a875953b2e50ca91 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69fbad1e94988190b86d447a68e65067 |
completed | May 6, 2026, 9:05 p.m. |
| PD | Predicate disambiguation | batch_69fba881b8e0819094790935152b99a1 |
completed | May 6, 2026, 8:45 p.m. |
| PDg | Predicate description generation | batch_69fbad1b3ba08190ad69e21461333f2e |
completed | May 6, 2026, 9:05 p.m. |
Created at: April 27, 2026, 9:04 p.m.