Triple
T12669864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | El-Auria |
E302648
|
entity |
| Predicate | speciesCharacteristic |
P40326
|
FINISHED |
| Object | long-lived |
—
|
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-lived | Statement: [El-Auria, speciesCharacteristic, long-lived]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: speciesCharacteristic Context triple: [El-Auria, speciesCharacteristic, long-lived]
-
A.
biologicalCharacteristic
chosen
Indicates that one entity possesses or exhibits a particular biological trait, feature, or property in relation to another.
-
B.
faunaCharacteristic
Indicates that an entity has a specific trait, feature, or quality related to animals or animal life.
-
C.
lifeCharacteristic
Indicates that an entity possesses a particular trait, feature, or quality relevant to its life or living state.
-
D.
featuresSpecies
Indicates that something includes, presents, or highlights a particular species as part of its content or composition.
-
E.
speciesDescription
Indicates a textual description that characterizes or explains the features, traits, or nature of a species.
- 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_69d7bded71a88190bb76e2413af9ea66 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961ae493481908f82e0d05dce20bd |
completed | April 10, 2026, 8:46 p.m. |
| PD | Predicate disambiguation | batch_69d960bb64ec8190bd0400cf0cc8b0a7 |
completed | April 10, 2026, 8:42 p.m. |
Created at: April 9, 2026, 5:20 p.m.