Triple
T38379492
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | markhor |
E893715
|
entity |
| Predicate | maleHornLengthMax |
P124423
|
FINISHED |
| Object | 160 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: 160 cm | Statement: [markhor, maleHornLengthMax, 160 cm]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maleHornLengthMax Context triple: [markhor, maleHornLengthMax, 160 cm]
-
A.
maleLength
Indicates that the relationship specifies the length or size measurement of a male individual or male part of an entity.
-
B.
hornLengthMale
chosen
Indicates the measured length of the horns specifically for male individuals in the relationship.
-
C.
averageMaleHornShape
Indicates the typical or most common horn shape observed in male individuals of a given group or species.
-
D.
maximumMaleBodyLength
Indicates the greatest recorded body length measured for male individuals of a given entity or species.
-
E.
tailLengthMale
Indicates the length of the tail specifically for male individuals in the context of the described relationship or measurement.
- 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_69f76e4b1f748190a380696a16eae4a2 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fcd1499e2c81909bafd84dc4810f45 |
completed | May 7, 2026, 5:52 p.m. |
| PD | Predicate disambiguation | batch_69fcccf024ec819086383ffbb6cfc036 |
completed | May 7, 2026, 5:33 p.m. |
Created at: May 3, 2026, 4:31 p.m.