Triple
T36464455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mola mola |
E898385
|
entity |
| Predicate | maximumFinToFinHeight |
P193911
|
FINISHED |
| Object | about 4.2 m |
—
|
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: about 4.2 m | Statement: [Mola mola, maximumFinToFinHeight, about 4.2 m]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maximumFinToFinHeight Context triple: [Mola mola, maximumFinToFinHeight, about 4.2 m]
-
A.
maximumPinnacleHeight
Indicates the greatest vertical height reached at the highest point (pinnacle) of an object, structure, or formation.
-
B.
maximumChamberHeight
Indicates the greatest vertical distance from the lowest to the highest point within a specified chamber.
-
C.
maximumExternalLift
Indicates the greatest amount of lifting force that can be exerted on an object or system by external means or devices.
-
D.
shaftHeight
Indicates the vertical extent or length of a shaft from its base to its top.
-
E.
highestAltitudeReachedBy
Indicates the maximum altitude that a given entity has ever attained.
- 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_69f76e58ebd88190b75d9b169b59d793 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fd592e48cc81909d754cc6c4bd99ae |
completed | May 8, 2026, 3:31 a.m. |
| PD | Predicate disambiguation | batch_69fd58b7f9b881909dc099b28d567784 |
completed | May 8, 2026, 3:30 a.m. |
| PDg | Predicate description generation | batch_69fd592cc56081908ce456114d407616 |
completed | May 8, 2026, 3:31 a.m. |
Created at: May 3, 2026, 4:10 p.m.