Triple
T6983833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Melursus ursinus |
E161911
|
entity |
| Predicate | hasClaws |
P74291
|
FINISHED |
| Object | long curved claws |
—
|
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: long curved claws | Statement: [Melursus ursinus, hasClaws, long curved claws]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasClaws Context triple: [Melursus ursinus, hasClaws, long curved claws]
-
A.
clawDescription
Indicates that one entity provides a descriptive account or characterization of a claw or claw-like feature of another entity.
-
B.
hasChelicerae
Indicates that an entity possesses chelicerae, the specialized mouthpart appendages used for feeding or defense in certain arthropods.
-
C.
hasMandibles
Indicates that an entity possesses mandibles, i.e., jaw-like mouthparts used for biting, cutting, or holding.
-
D.
hasScutes
Indicates that an entity possesses scutes, meaning it has bony or horny external plates as part of its body covering.
-
E.
hasHorns
Indicates that an entity possesses horns as a physical feature.
- 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_69c68855dc0481909b4c7e9e9ed273db |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dbbd926c8190a8b60527bd553fa3 |
completed | March 27, 2026, 7:34 p.m. |
| PD | Predicate disambiguation | batch_69c6d7c4a18881908d267137daed828b |
completed | March 27, 2026, 7:17 p.m. |
| PDg | Predicate description generation | batch_69c6dbbc00fc8190a18221524b774021 |
completed | March 27, 2026, 7:34 p.m. |
Created at: March 27, 2026, 2:31 p.m.