Triple
T3995011
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Formicinae |
E87077
|
entity |
| Predicate | includesMorphology |
P1250
|
FINISHED |
| Object | workers with 12-segmented antennae in many genera |
—
|
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: workers with 12-segmented antennae in many genera | Statement: [Formicinae, includesMorphology, workers with 12-segmented antennae in many genera]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesMorphology Context triple: [Formicinae, includesMorphology, workers with 12-segmented antennae in many genera]
-
A.
notableMorphology
Indicates that an entity is characterized by a distinctive or noteworthy physical form, structure, or shape.
-
B.
modifiesMorphologyOf
Indicates that one entity alters or changes the morphological structure or form of another entity.
-
C.
relatedMorphologicalFeature
Indicates that one entity is connected to another through a shared or corresponding morphological feature or structure.
-
D.
hasMorphologicalType
chosen
Indicates that an entity possesses or is classified by a particular morphological type or structural form.
-
E.
trapMorphology
Indicates the structural form or physical configuration of a trap in relation to the entity it belongs to.
- 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_69aed94118148190975e6aa4e554cde9 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb81040481909b22e4c445ecae0f |
completed | March 9, 2026, 4:55 p.m. |
| PD | Predicate disambiguation | batch_69aef8f692008190bf4d637ffc3d3eaa |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:34 p.m.