Triple
T26407820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cryptoprocta ferox |
E663879
|
entity |
| Predicate | averageBodyLengthWithoutTail |
P154004
|
FINISHED |
| Object | 70–80 cm |
—
|
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: 70–80 cm | Statement: [Cryptoprocta ferox, averageBodyLengthWithoutTail, 70–80 cm]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: averageBodyLengthWithoutTail Context triple: [Cryptoprocta ferox, averageBodyLengthWithoutTail, 70–80 cm]
-
A.
bodyLengthWithoutTail
chosen
Indicates the length of an organism’s body measured excluding its tail.
-
B.
averageBodyLengthM
Indicates the average length of an organism’s body, measured in meters.
-
C.
averageHeadBodyLengthRangeMale
Indicates the range of average head-to-body lengths observed specifically in male individuals of a species.
-
D.
maximumFemaleBodyLength
Indicates the greatest recorded length of the body for female individuals of a given entity or group.
-
E.
maximumMaleBodyLength
Indicates the greatest recorded body length measured for male individuals of a given entity or species.
- 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_69ee883931888190901be96d75ee23cc |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f6247480cc8190a887eedaeb94615c |
completed | May 2, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69f623a7539c8190b71797f583da9f63 |
completed | May 2, 2026, 4:17 p.m. |
Created at: April 26, 2026, 11:36 p.m.