Triple
T23740428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Escobilla, Mexico |
E586657
|
entity |
| Predicate | seaTurtleScientificName |
P1329
|
FINISHED |
| Object | Lepidochelys olivacea |
—
|
NE NERFINISHED |
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: Lepidochelys olivacea | Statement: [La Escobilla, Mexico, seaTurtleScientificName, Lepidochelys olivacea]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seaTurtleScientificName Context triple: [La Escobilla, Mexico, seaTurtleScientificName, Lepidochelys olivacea]
-
A.
seaTurtleSpeciesObserved
Indicates that one or more individuals of a particular sea turtle species have been observed at a given place and/or time.
-
B.
animalScientificNameFeatured
Indicates that a particular scientific (taxonomic) name of an animal is highlighted or designated as the primary/featured name in a given context.
-
C.
includesMostLivingTurtles
Indicates that one entity contains or encompasses the majority of all currently living turtles.
-
D.
hasScientificSpecies
Indicates that an entity is associated with a specific scientific (Latin) species name.
-
E.
scientificName
chosen
Indicates the formal taxonomic name assigned to an organism according to scientific naming conventions.
- 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_69e24908efb08190bf755c3a9b91f222 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1bad5209081909c44380816bec377 |
completed | April 29, 2026, 8:01 a.m. |
| PD | Predicate disambiguation | batch_69f155f012808190a4b1cbc155558ade |
completed | April 29, 2026, 12:50 a.m. |
Created at: April 17, 2026, 7:11 p.m.