Triple
T35307066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hexapoda |
E1019665
|
entity |
| Predicate | hasLegsOnBodyRegion |
P146838
|
FINISHED |
| Object | legs attached to thorax |
—
|
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: legs attached to thorax | Statement: [Hexapoda, hasLegsOnBodyRegion, legs attached to thorax]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLegsOnBodyRegion Context triple: [Hexapoda, hasLegsOnBodyRegion, legs attached to thorax]
-
A.
hasLeg
chosen
Indicates that an entity possesses one or more legs as part of its physical structure.
-
B.
hasLimbs
Indicates that an entity possesses one or more limbs as physical appendages.
-
C.
hasHindLegsOf
Indicates that one entity possesses or is characterized by the hind legs belonging to or derived from another entity.
-
D.
hasBodyRegion
Indicates that an entity possesses, includes, or is associated with a specific anatomical or bodily region.
-
E.
isProminentPartOf
Indicates that something forms a major, highly noticeable, or significant component of a larger whole.
- 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_69f76de8b4c48190ae504b86185c474c |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fe12a899d4819080d48423f32eace9 |
completed | May 8, 2026, 4:43 p.m. |
| PD | Predicate disambiguation | batch_69fe0d7f6aa08190a1d2dfc025d4e0dc |
completed | May 8, 2026, 4:21 p.m. |
Created at: May 3, 2026, 4:03 p.m.