Triple
T1019664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American alligator |
E22010
|
entity |
| Predicate | averageAdultMass |
P1335
|
FINISHED |
| Object | 200 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: 200 kilograms | Statement: [American alligator, averageAdultMass, 200 kilograms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: averageAdultMass Context triple: [American alligator, averageAdultMass, 200 kilograms]
-
A.
averageWeight
chosen
Indicates the typical or mean weight value associated with an entity or group of entities.
-
B.
approximateMass
Indicates that one entity has a mass value that is an estimate or close approximation of the mass of another entity.
-
C.
givesMassTo
Indicates that one entity transfers or assigns a certain amount of mass to another entity.
-
D.
massRelativeToEarth
Indicates the comparative amount of mass an entity has relative to the mass of Earth.
-
E.
emptyWeight
Indicates the weight of an object or vehicle when it is empty, excluding any load, cargo, or passengers.
- 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_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. |
Created at: March 1, 2026, 7:41 p.m.