Triple
T35034482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | wolf |
E1010871
|
entity |
| Predicate | averageAdultBodyLengthRange |
P184042
|
FINISHED |
| Object | 105–160 centimeters |
—
|
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: 105–160 centimeters | Statement: [wolf, averageAdultBodyLengthRange, 105–160 centimeters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: averageAdultBodyLengthRange Context triple: [wolf, averageAdultBodyLengthRange, 105–160 centimeters]
-
A.
averageBodyLengthM
Indicates the average length of an organism’s body, measured in meters.
-
B.
averageBodyLengthMale
Indicates the typical or mean body length measured specifically for male individuals of a species or group.
-
C.
averageHeadBodyLengthRangeMale
Indicates the range of average head-to-body lengths observed specifically in male individuals of a species.
-
D.
averageBodyLengthFemale
Indicates the typical or mean body length measured specifically for female individuals of a given group or species.
-
E.
averageHeightRange
Indicates the typical minimum and maximum height values that characterize the usual height span associated with an entity or group.
- F. None of above. chosen
Provenance (4 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_69f76dcea02c81908542a223f6d5059f |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f7aaabb58c8190bf81673608ecfb6e |
completed | May 3, 2026, 8:06 p.m. |
| PD | Predicate disambiguation | batch_69f7a8cec6d48190bebfa884b2f938c0 |
completed | May 3, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69f7aa6795f481908940838ee7041ff5 |
completed | May 3, 2026, 8:04 p.m. |
Created at: May 3, 2026, 4:01 p.m.