Triple
T9173587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zig-Zag Chair |
E220139
|
entity |
| Predicate | weightSupport |
P86636
|
FINISHED |
| Object | single cantilevered joint zone |
—
|
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: single cantilevered joint zone | Statement: [Zig-Zag Chair, weightSupport, single cantilevered joint zone]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: weightSupport Context triple: [Zig-Zag Chair, weightSupport, single cantilevered joint zone]
-
A.
weightLimitInPounds
Indicates the maximum allowable weight for something, expressed in pounds.
-
B.
weight
Indicates a relationship where a numerical value quantifies how heavy an entity is, often used to measure or compare mass or load.
-
C.
weightIssue
Indicates that there is a problem, concern, or abnormal condition related to the weight of an entity.
-
D.
weightLimitInKilograms
Indicates the maximum allowable weight for something, expressed in kilograms.
-
E.
emptyWeight
Indicates the weight of an object or vehicle when it is empty, excluding any load, cargo, or passengers.
- 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_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. |
| PDg | Predicate description generation | batch_69cc66d7bf648190b8bff5b584b84975 |
completed | April 1, 2026, 12:29 a.m. |
Created at: March 30, 2026, 7:22 p.m.