Triple
T35307128
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orthoptera |
E1019666
|
entity |
| Predicate | nymphResemblesAdult |
P182720
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Orthoptera, nymphResemblesAdult, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nymphResemblesAdult Context triple: [Orthoptera, nymphResemblesAdult, true]
-
A.
associatedWithNymph
Indicates a relationship in which an entity is linked or connected to a nymph, typically through companionship, service, origin, or mythological association.
-
B.
hasAsexualMorph
Indicates that an entity possesses or is associated with an asexual morphological form in its life cycle.
-
C.
portrayedAsAdultBy
Indicates that one entity is depicted or represented as an adult by another entity (such as an artist, author, or creator).
-
D.
appearanceToWomen
Indicates that an entity appears or reveals itself specifically to women.
-
E.
replacedByAdultNameOf
Indicates that an entity (typically a child or informal name) is superseded or substituted by a corresponding adult or formal name.
- 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_69f76de8b4c48190ae504b86185c474c |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f790522fbc81908a918eda08edd6e1 |
completed | May 3, 2026, 6:13 p.m. |
| PD | Predicate disambiguation | batch_69f78e2f52e08190a77661223a96c601 |
completed | May 3, 2026, 6:04 p.m. |
| PDg | Predicate description generation | batch_69f78f629d508190b755848162c4e101 |
completed | May 3, 2026, 6:09 p.m. |
Created at: May 3, 2026, 4:03 p.m.