Triple
T1038354
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American crocodile |
E22414
|
entity |
| Predicate | averageFemaleLength |
P18065
|
FINISHED |
| Object | 2.5 to 3 meters |
—
|
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: 2.5 to 3 meters | Statement: [American crocodile, averageFemaleLength, 2.5 to 3 meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: averageFemaleLength Context triple: [American crocodile, averageFemaleLength, 2.5 to 3 meters]
-
A.
typicalLength
chosen
Indicates the usual or characteristic length associated with an entity or phenomenon.
-
B.
estimatedHeightAtHipsInMeters
Indicates the estimated vertical height, measured in meters, of an entity at the level of its hips.
-
C.
maxLengthGirth
Indicates that there is a maximum allowable or observed girth (thickness or circumference) associated with the related entity or relationship.
-
D.
maxLengthGirthUnit
Indicates the unit of measurement used to express the maximum girth length of an entity.
-
E.
heightApproximateFeet
Indicates that one entity’s height is approximately equal to a specified value measured in feet.
- 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_69a493d91478819094cc01fb65564bc1 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b97c64a88190bf1119fdd4940bf3 |
completed | March 1, 2026, 10:11 p.m. |
| PD | Predicate disambiguation | batch_69a4b729f8488190b2042bd9c625a833 |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:41 p.m.