Triple
T2767453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LC2 Petit Modèle |
E61369
|
entity |
| Predicate | armchairType |
P6977
|
FINISHED |
| Object | club chair reinterpretation |
—
|
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: club chair reinterpretation | Statement: [LC2 Petit Modèle, armchairType, club chair reinterpretation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: armchairType Context triple: [LC2 Petit Modèle, armchairType, club chair reinterpretation]
-
A.
chairType
chosen
Indicates the specific kind or category of chair that an entity is classified as.
-
B.
boardChair
Indicates that one entity serves as the chairperson (leader) of the board of directors of another entity.
-
C.
canChair
Indicates that an entity has the authority or capability to preside over, lead, or chair a meeting, committee, or similar group.
-
D.
coChairWith
Indicates that two or more entities share the role of chairing the same group, event, or organization jointly.
-
E.
cabinetSeat
Indicates that an individual holds a position or seat within a governing cabinet or executive council.
- 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_69ab4b7bab6c8190a5c2efef19a8ef34 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abddceb9d88190961e30d521a21552 |
completed | March 7, 2026, 8:11 a.m. |
| PD | Predicate disambiguation | batch_69abdcfc5e1c8190a5ac2c48d3eaeb0a |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 9:57 p.m.