Triple
T6848681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kodiak bear |
E157958
|
entity |
| Predicate | maximumRecordedWeight |
P57708
|
FINISHED |
| Object | over 680 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: over 680 kg | Statement: [Kodiak bear, maximumRecordedWeight, over 680 kg]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maximumRecordedWeight Context triple: [Kodiak bear, maximumRecordedWeight, over 680 kg]
-
A.
maximumRecordedMass
chosen
Indicates the greatest mass value that has been observed and recorded for an entity within a given context.
-
B.
maximumRecordedTemperature
Indicates the highest temperature value that has been observed and recorded for a given entity or context.
-
C.
maximumRecordedLifespan
Indicates the greatest length of time that has ever been recorded for an individual of a given type to live.
-
D.
maximumWeight
Indicates the greatest allowable or observed weight value associated with an entity or relationship.
-
E.
maximumMaleBodyMass
Indicates the greatest recorded body mass among male individuals within a given group or species.
- 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_69c6882ed4c081909dc465a7cf8838be |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d7ce3e7481908e0472b8faafa473 |
completed | March 27, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_69c6d0a12834819097d7e6c0b823745e |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:20 p.m.