Triple
T25283819
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | great bustard |
E633883
|
entity |
| Predicate | femaleMassRange |
P57596
|
FINISHED |
| Object | 3–8 kg |
—
|
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: 3–8 kg | Statement: [great bustard, femaleMassRange, 3–8 kg]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: femaleMassRange Context triple: [great bustard, femaleMassRange, 3–8 kg]
-
A.
femaleMass
chosen
Indicates that the subject has a mass value specifically associated with its female form or female population.
-
B.
femaleHas
Indicates that a specified entity is female or possesses a female gender attribute in relation to another entity or context.
-
C.
femaleHeightRangeCm
Indicates the range of heights, measured in centimeters, that is associated with female individuals.
-
D.
femaleMember
Indicates that one entity is a member of a group or organization and is identified as female.
-
E.
femaleCounterpartOf
Indicates that one entity is the female equivalent or corresponding counterpart of another entity within a given role, relationship, or category.
- 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_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_69f4683472ec8190a483b3b8afe71720 |
completed | May 1, 2026, 8:45 a.m. |
Created at: April 21, 2026, 1:19 p.m.