Triple
T13729256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | vaquita marina |
E329747
|
entity |
| Predicate | nombreComúnEnInglés |
P3437
|
FINISHED |
| Object | vaquita |
—
|
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: vaquita | Statement: [vaquita marina, nombreComúnEnInglés, vaquita]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nombreComúnEnInglés Context triple: [vaquita marina, nombreComúnEnInglés, vaquita]
-
A.
languageCommonlyCalled
Indicates that one language is commonly referred to or known by a particular alternative name or label.
-
B.
hasEnglishName
chosen
Indicates that an entity is associated with a name expressed in the English language.
-
C.
isAlsoCommonNounInLanguage
Indicates that an entity is also used as a common noun in a specified language.
-
D.
hasOfficialNameInEnglish
Indicates that an entity has an officially recognized name expressed in the English language.
-
E.
otherCommonName
Indicates that an entity is known by an additional, alternative common name besides its primary one.
- 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_69d80772315881908f980cae40d91664 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69de01f746cc8190abde237bbb7e6c78 |
completed | April 14, 2026, 8:59 a.m. |
| PD | Predicate disambiguation | batch_69dbbe950b148190ba0df8a749269ec6 |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 9:55 p.m.