Triple
T1019663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American alligator |
E22010
|
entity |
| Predicate | maximumRecordedLength |
P23293
|
FINISHED |
| Object | about 4.6 meters |
—
|
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 4.6 meters | Statement: [American alligator, maximumRecordedLength, about 4.6 meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maximumRecordedLength Context triple: [American alligator, maximumRecordedLength, about 4.6 meters]
-
A.
typicalRecordingDuration
Indicates the usual or standard length of time that something is recorded.
-
B.
maximumVideoLength
Indicates the greatest allowable or supported duration for a video in this context.
-
C.
seriesLengthMaximum
Indicates the maximum allowable or observed length (e.g., number of items or installments) in a series.
-
D.
lastRecordedEvent
Indicates the most recent event that has been recorded for a given entity or context.
-
E.
maximumSegmentLength
Indicates the greatest allowable or observed length of a segment within a given context or structure.
- 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_69a493d6e380819097b384986ffc315c |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b7dbcf7c8190858b2d16a27bd2ff |
completed | March 1, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69a4b724c7908190a5b92a57fbdbff4e |
completed | March 1, 2026, 10:01 p.m. |
| PDg | Predicate description generation | batch_69a4b7bd3d50819091e6f1d2ffe4c7ee |
completed | March 1, 2026, 10:03 p.m. |
Created at: March 1, 2026, 7:41 p.m.