Triple
T25283821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | great bustard |
E633883
|
entity |
| Predicate | femaleLengthRange |
P158801
|
FINISHED |
| Object | 75–85 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: 75–85 cm | Statement: [great bustard, femaleLengthRange, 75–85 cm]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: femaleLengthRange Context triple: [great bustard, femaleLengthRange, 75–85 cm]
-
A.
maleLength
Indicates that the relationship specifies the length or size measurement of a male individual or male part of an entity.
-
B.
averageBodyLengthFemale
Indicates the typical or mean body length measured specifically for female individuals of a given group or species.
-
C.
hornLengthMale
Indicates the measured length of the horns specifically for male individuals in the relationship.
-
D.
femaleHeightRangeCm
Indicates the range of heights, measured in centimeters, that is associated with female individuals.
-
E.
femaleHeight
Indicates the height measurement associated specifically with a female individual.
- 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_69e75a9402fc81909362ca85277c06d9 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f48e0718908190a2ebc862db79e2ea |
completed | May 1, 2026, 11:27 a.m. |
| PD | Predicate disambiguation | batch_69f4806d93dc8190b9dff4c63186faff |
completed | May 1, 2026, 10:29 a.m. |
| PDg | Predicate description generation | batch_69f48b9058d081908ec9af261ee092e2 |
completed | May 1, 2026, 11:16 a.m. |
Created at: April 21, 2026, 1:19 p.m.