Triple
T3872118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caenorhabditis elegans |
E92409
|
entity |
| Predicate | hasCuticle |
P19650
|
FINISHED |
| Object | collagenous cuticle |
—
|
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: collagenous cuticle | Statement: [Caenorhabditis elegans, hasCuticle, collagenous cuticle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCuticle Context triple: [Caenorhabditis elegans, hasCuticle, collagenous cuticle]
-
A.
cuticleType
chosen
Indicates the type or characteristics of the cuticle associated with an entity.
-
B.
hasCut
Indicates that one entity has made or possesses a cut in, on, or through another entity.
-
C.
hasScutes
Indicates that an entity possesses scutes, meaning it has bony or horny external plates as part of its body covering.
-
D.
commonCut
Indicates that two or more entities share at least one identical segment or portion that has been cut or divided in the same way.
-
E.
hairDetail
Indicates a relationship that specifies particular characteristics or attributes of an entity’s hair, such as style, color, length, or texture.
- 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_69aed967448c819086c4b358d37b25aa |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeec5691148190b469af0bee9154db |
completed | March 9, 2026, 3:50 p.m. |
| PD | Predicate disambiguation | batch_69aee754dddc8190936e1f9c40a770db |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:20 p.m.