Triple
T3475959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | proboscis monkey |
E73374
|
entity |
| Predicate | maleBodyMass |
P49195
|
FINISHED |
| Object | up to about 24 kilograms |
—
|
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 24 kilograms | Statement: [proboscis monkey, maleBodyMass, up to about 24 kilograms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maleBodyMass Context triple: [proboscis monkey, maleBodyMass, up to about 24 kilograms]
-
A.
averageBodyLengthMale
Indicates the typical or mean body length measured specifically for male individuals of a species or group.
-
B.
maleLength
Indicates that the relationship specifies the length or size measurement of a male individual or male part of an entity.
-
C.
averageMaleHeight
Indicates the typical or mean height value associated with male individuals in a given population or context.
-
D.
averageWingspanMale
Indicates the typical or mean wingspan measurement for male individuals of a given species or group.
-
E.
averageMaleShoulderHeight
Indicates the typical or mean shoulder height measured for male individuals within a given group or context.
- 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_69ad85b2fed48190948c8765e453d270 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbb593a388190b7786190deba96ed |
completed | March 8, 2026, 6:09 p.m. |
| PD | Predicate disambiguation | batch_69adae07802c8190919c49b0e65b2797 |
completed | March 8, 2026, 5:12 p.m. |
| PDg | Predicate description generation | batch_69adb21a437c81908bca88d5e123d744 |
completed | March 8, 2026, 5:30 p.m. |
Created at: March 8, 2026, 3:17 p.m.