Triple
T13729238
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | vaquita marina |
E329747
|
entity |
| Predicate | pesoPromedio |
P1335
|
FINISHED |
| Object | alrededor de 40 a 55 kilogramos |
—
|
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 40 a 55 kilogramos | Statement: [vaquita marina, pesoPromedio, alrededor de 40 a 55 kilogramos]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pesoPromedio Context triple: [vaquita marina, pesoPromedio, alrededor de 40 a 55 kilogramos]
-
A.
averageWeight
chosen
Indicates the typical or mean weight value associated with an entity or group of entities.
-
B.
averageAge
Indicates the mean age value calculated from a group of entities or individuals.
-
C.
averageHeight
Indicates that the relationship specifies the mean height value calculated from a set of entities or measurements.
-
D.
وزن
Indicates a relationship where one entity has, measures, or is characterized by a certain weight or mass.
-
E.
approximateWeightInPounds
Indicates the estimated weight of an entity expressed in pounds, rather than an exact measured value.
- 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.