Triple
T24122534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paranthropus aethiopicus |
E597700
|
entity |
| Predicate | estimatedBodyHeight |
P38193
|
FINISHED |
| Object | about 1.2 to 1.4 metres |
—
|
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: about 1.2 to 1.4 metres | Statement: [Paranthropus aethiopicus, estimatedBodyHeight, about 1.2 to 1.4 metres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: estimatedBodyHeight Context triple: [Paranthropus aethiopicus, estimatedBodyHeight, about 1.2 to 1.4 metres]
-
A.
estimatedHeadHeightInMeters
Indicates the estimated vertical height of a person's head, measured in meters.
-
B.
heightEstimate
chosen
Indicates an estimated or approximate value for the height of an entity, rather than a precisely measured height.
-
C.
estimatedHeightAtHipsInMeters
Indicates the estimated vertical height, measured in meters, of an entity at the level of its hips.
-
D.
heightDescription
Indicates how tall an entity is, typically expressed in descriptive or qualitative terms rather than a precise measurement.
-
E.
heightInMetres
Indicates the height of an entity expressed as a measurement in metres.
- 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_69e288c74200819098ab875b592cb39f |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1dee5937c819092396751c23553ca |
completed | April 29, 2026, 10:35 a.m. |
| PD | Predicate disambiguation | batch_69f1765650fc8190a6bc1eb512b240bf |
completed | April 29, 2026, 3:09 a.m. |
Created at: April 17, 2026, 11:05 p.m.