Triple
T1038353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American crocodile |
E22414
|
entity |
| Predicate | averageMaleLength |
P18065
|
FINISHED |
| Object | 3 to 4 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: 3 to 4 meters | Statement: [American crocodile, averageMaleLength, 3 to 4 meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: averageMaleLength Context triple: [American crocodile, averageMaleLength, 3 to 4 meters]
-
A.
maxLengthGirth
Indicates that there is a maximum allowable or observed girth (thickness or circumference) associated with the related entity or relationship.
-
B.
maxLengthGirthUnit
Indicates the unit of measurement used to express the maximum girth length of an entity.
-
C.
typicalLength
chosen
Indicates the usual or characteristic length associated with an entity or phenomenon.
-
D.
malesOftenHave
Indicates that male entities frequently possess, exhibit, or are associated with the specified attribute or characteristic.
-
E.
maleEquivalent
Indicates that one entity is the corresponding male counterpart or equivalent of another entity.
- 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.