Triple
T9173586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zig-Zag Chair |
E220139
|
entity |
| Predicate | hasArmrests |
P21872
|
FINISHED |
| Object | no |
—
|
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: no | Statement: [Zig-Zag Chair, hasArmrests, no]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasArmrests Context triple: [Zig-Zag Chair, hasArmrests, no]
-
A.
hasArmrestType
Indicates the specific style or configuration of armrests associated with an item.
-
B.
hasBackrestType
Indicates the specific kind or style of backrest that an object (typically a seat or chair) possesses.
-
C.
hasArm
chosen
Indicates that one entity possesses or is equipped with an arm as a physical part or component of itself.
-
D.
hasRetractableSeating
Indicates that an entity is equipped with seating that can be folded away, collapsed, or otherwise retracted when not in use.
-
E.
hasBermSeating
Indicates that a venue or location includes berm-style seating areas, typically grass-covered embankments where spectators can sit.
- 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_69ca83e467108190abcae6a33b3d4dad |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccbfa128d48190b54b8f95d77d81cc |
completed | April 1, 2026, 6:48 a.m. |
| PD | Predicate disambiguation | batch_69cc660761d88190ab6134b43b376964 |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:22 p.m.