Triple
T3603873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tulip chair |
E76322
|
entity |
| Predicate | seatConstruction |
P42553
|
FINISHED |
| Object | molded shell |
—
|
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: molded shell | Statement: [Tulip chair, seatConstruction, molded shell]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seatConstruction Context triple: [Tulip chair, seatConstruction, molded shell]
-
A.
seatStructure
chosen
Indicates that one entity serves as the structural or physical seating component or arrangement associated with another entity.
-
B.
seatLocation
Indicates the spatial position or placement of a seat relative to a reference point or environment.
-
C.
cabinetSeat
Indicates that an individual holds a position or seat within a governing cabinet or executive council.
-
D.
chairType
Indicates the specific kind or category of chair that an entity is classified as.
-
E.
architecturalStyleOfSeat
Indicates the architectural style that characterizes a particular seat or seating structure.
- 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_69ad85d93dcc819094fba90cf70f4996 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc1e07bc481908d9fce18d36d8e0d |
completed | March 8, 2026, 6:37 p.m. |
| PD | Predicate disambiguation | batch_69adb83d8b1c8190b3bddbc5dc995a87 |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:22 p.m.