Triple
T19929077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | lion |
E479002
|
entity |
| Predicate | averageBodyLengthM |
P137879
|
FINISHED |
| Object | 1.4–2.5 |
—
|
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: 1.4–2.5 | Statement: [lion, averageBodyLengthM, 1.4–2.5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: averageBodyLengthM Context triple: [lion, averageBodyLengthM, 1.4–2.5]
-
A.
averageBodyLengthMale
Indicates the typical or mean body length measured specifically for male individuals of a species or group.
-
B.
averageBodyLengthFemale
Indicates the typical or mean body length measured specifically for female individuals of a given group or species.
-
C.
averageHeight
Indicates that the relationship specifies the mean height value calculated from a set of entities or measurements.
-
D.
averageHeadBodyLengthRangeMale
Indicates the range of average head-to-body lengths observed specifically in male individuals of a species.
-
E.
averageMaleHeight
Indicates the typical or mean height value associated with male individuals in a given population or context.
- 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_69d8e521855c8190b41871700afc8d6a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e659cd4500819090363a4b7d6bf193 |
completed | April 20, 2026, 4:52 p.m. |
| PD | Predicate disambiguation | batch_69e537f070b481908958e0e5911dcdc1 |
completed | April 19, 2026, 8:15 p.m. |
| PDg | Predicate description generation | batch_69e543c136b081909cab9394b958390a |
completed | April 19, 2026, 9:06 p.m. |
Created at: April 10, 2026, 1:53 p.m.