Triple
T13729237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | vaquita marina |
E329747
|
entity |
| Predicate | longitudPromedio |
P99108
|
FINISHED |
| Object | alrededor de 1.5 metros |
—
|
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: alrededor de 1.5 metros | Statement: [vaquita marina, longitudPromedio, alrededor de 1.5 metros]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: longitudPromedio Context triple: [vaquita marina, longitudPromedio, alrededor de 1.5 metros]
-
A.
medidaCentral
Indicates a relationship where something functions as a central or primary measure used to summarize or represent a set of values.
-
B.
averageAge
Indicates the mean age value calculated from a group of entities or individuals.
-
C.
averageStatureCharacteristic
chosen
Indicates that an entity has a stature (height or overall size) that is typical or average relative to a relevant comparison group.
-
D.
hasAverageMonthLength
Indicates that an entity is associated with a specified average length of a month, typically expressed in days.
-
E.
hasAverageYearLength
Indicates that one entity has a specified average duration for its year (orbital period), typically measured over time.
- 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.