Triple
T13632628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chandigarh low lounge chairs |
E325760
|
entity |
| Predicate | seatMaterial |
P84336
|
FINISHED |
| Object | cane |
—
|
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: cane | Statement: [Chandigarh low lounge chairs, seatMaterial, cane]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seatMaterial Context triple: [Chandigarh low lounge chairs, seatMaterial, cane]
-
A.
hasSeatMaterial
chosen
Indicates that an entity’s seat is made of, or covered with, a specified material.
-
B.
upholsteryOption
Indicates the type or choice of upholstery applied to an item, such as a piece of furniture or vehicle interior.
-
C.
tentMaterial
Indicates the material from which a tent is made or constructed.
-
D.
hasBedMaterial
Indicates that one entity has, contains, or is characterized by a particular bed material (e.g., the substance forming the base or bedding of that entity).
-
E.
chairType
Indicates the specific kind or category of chair that an entity is classified as.
- 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_69d8076beddc8190a53156f5bea77f5e |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc60635d08190899806fe8936f02a |
completed | April 12, 2026, 4:19 p.m. |
| PD | Predicate disambiguation | batch_69dbbe85e1c4819095194f4b7f9f6118 |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 9:51 p.m.