Triple
T23740427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Escobilla, Mexico |
E586657
|
entity |
| Predicate | mainSeaTurtleSpecies |
P45497
|
FINISHED |
| Object | olive ridley sea turtle |
—
|
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: olive ridley sea turtle | Statement: [La Escobilla, Mexico, mainSeaTurtleSpecies, olive ridley sea turtle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainSeaTurtleSpecies Context triple: [La Escobilla, Mexico, mainSeaTurtleSpecies, olive ridley sea turtle]
-
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.
includesMostLivingTurtles
Indicates that one entity contains or encompasses the majority of all currently living turtles.
-
C.
hasMarineSpecies
Indicates that an entity contains, supports, or is associated with one or more marine species.
-
D.
primaryMarineSpeciesObserved
chosen
Indicates that the specified marine species is the main or most frequently observed species in a given observation or survey context.
-
E.
numberOfSpecies
Indicates the count of distinct species associated with a given entity or context.
- 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.