Triple
T6333611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | olive ridley sea turtle |
E142437
|
entity |
| Predicate | averageAdultWeight |
P1335
|
FINISHED |
| Object | 35 to 45 kilograms |
—
|
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: 35 to 45 kilograms | Statement: [olive ridley sea turtle, averageAdultWeight, 35 to 45 kilograms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: averageAdultWeight Context triple: [olive ridley sea turtle, averageAdultWeight, 35 to 45 kilograms]
-
A.
averageWeight
chosen
Indicates the typical or mean weight value associated with an entity or group of entities.
-
B.
averageWeightFemale
Indicates the typical or mean body weight associated specifically with female individuals within a given group or context.
-
C.
approximateWeightInPounds
Indicates the estimated weight of an entity expressed in pounds, rather than an exact measured value.
-
D.
weightForAge
Indicates the weight measurement associated with an entity given its age.
-
E.
maleBodyMass
Indicates that the relationship specifies the body mass or weight associated with a male individual.
- 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_69c008d4d8e88190ad301c05b08722ac |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06517a1e88190a0bfcac8a7e3a305 |
completed | March 22, 2026, 9:54 p.m. |
| PD | Predicate disambiguation | batch_69c060e7e2d48190af9d004236466788 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:30 p.m.