Triple
T10607952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | bumster trousers |
E275924
|
entity |
| Predicate | waistlinePosition |
P94908
|
FINISHED |
| Object | below hip bone |
—
|
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: below hip bone | Statement: [bumster trousers, waistlinePosition, below hip bone]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waistlinePosition Context triple: [bumster trousers, waistlinePosition, below hip bone]
-
A.
estimatedHeightAtHipsInMeters
Indicates the estimated vertical height, measured in meters, of an entity at the level of its hips.
-
B.
isNarrowestPartOf
Indicates that one entity constitutes the slimmest or most constricted section within the extent or structure of another entity.
-
C.
isWornAbove
Indicates that one wearable item is positioned higher on the body than another wearable item when both are being worn.
-
D.
البطن
Indicates a relationship where something is located in, contained within, or belongs to the inner part or core (literal or figurative) of something else.
-
E.
positionInArms
Indicates that one entity is being held or carried within the arms of another entity.
- 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_69d6aaf948d88190806cc3a8c47a3fb2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d6df4c38c881908f69bb757b8e03f5 |
completed | April 8, 2026, 11:05 p.m. |
| PD | Predicate disambiguation | batch_69d6dd72c1288190adbb5e79e94c044a |
completed | April 8, 2026, 10:57 p.m. |
| PDg | Predicate description generation | batch_69d6df463ea8819091d6683e476b4f21 |
completed | April 8, 2026, 11:05 p.m. |
Created at: April 8, 2026, 7:32 p.m.