Triple
T16613680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ichneumonidae |
E403637
|
entity |
| Predicate | characteristicStructure |
P91632
|
FINISHED |
| Object | ovipositor often long and slender |
—
|
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: ovipositor often long and slender | Statement: [Ichneumonidae, characteristicStructure, ovipositor often long and slender]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characteristicStructure Context triple: [Ichneumonidae, characteristicStructure, ovipositor often long and slender]
-
A.
characterStructure
chosen
Indicates the structural or organizational relationship between a character and the components or elements that make up that character.
-
B.
catalogCharacteristic
Indicates that a catalog has a specific characteristic or attribute associated with it.
-
C.
rulesCharacteristic
Indicates that one entity establishes or defines a characteristic, property, or feature that another entity must follow or conform to.
-
D.
recordCharacteristic
Indicates that an entity documents or stores a specific characteristic or attribute of another entity.
-
E.
ruleCharacteristics
Indicates the defining properties, constraints, or parameters that specify how a particular rule operates or should be applied.
- 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_69d883880d0c81908b5fcd454e767b60 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e360983d2c8190b1fe7f18aedfbde1 |
completed | April 18, 2026, 10:44 a.m. |
| PD | Predicate disambiguation | batch_69e296aabc508190b3836a91b49113ad |
completed | April 17, 2026, 8:23 p.m. |
Created at: April 10, 2026, 5:17 a.m.