Triple
T30744741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bison antiquus |
E782787
|
entity |
| Predicate | hornSpan |
P91312
|
FINISHED |
| Object | up to about 1 meter or more |
—
|
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: up to about 1 meter or more | Statement: [Bison antiquus, hornSpan, up to about 1 meter or more]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hornSpan Context triple: [Bison antiquus, hornSpan, up to about 1 meter or more]
-
A.
hornSpanRange
chosen
Indicates the range of distances between the tips of an entity’s horns.
-
B.
hornInterpretedAs
Indicates that one entity’s horn is understood, interpreted, or taken to represent another entity or concept.
-
C.
hornPattern
Indicates the specific arrangement, shape, or configuration of an entity’s horn or horns in relation to its head or body.
-
D.
hornPlayer
Indicates that an entity plays, performs on, or is characterized as a player of a horn instrument in relation to another entity or context.
-
E.
hornCount
Indicates the number of horns possessed by an 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_69f224aeb1588190897d395e8ed2acb8 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f68f6cba0c8190a02288899be05007 |
completed | May 2, 2026, 11:57 p.m. |
| PD | Predicate disambiguation | batch_69f686140aa08190a35f62572b2db9b6 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 29, 2026, 8:38 p.m.