Triple
T11339394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brachiosaurus |
E268554
|
entity |
| Predicate | neckLengthRelativeToBody |
P49300
|
FINISHED |
| Object | very long neck |
—
|
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: very long neck | Statement: [Brachiosaurus, neckLengthRelativeToBody, very long neck]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: neckLengthRelativeToBody Context triple: [Brachiosaurus, neckLengthRelativeToBody, very long neck]
-
A.
earLength
Indicates the length of an entity’s ear(s), typically as a measurable physical attribute.
-
B.
armLength
Indicates that one entity’s arm has a specified length or that there is a measured distance corresponding to the length of an arm.
-
C.
neckCharacteristic
chosen
Indicates that an entity has a specific attribute, feature, or quality related to its neck.
-
D.
maximumFemaleBodyLength
Indicates the greatest recorded length of the body for female individuals of a given entity or group.
-
E.
baleenLength
Indicates the length of an organism’s baleen structures, typically measured as a physical dimension.
- 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_69d6aacb1f0881908c84a349fd1be047 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7ea01c6c08190910a6ce8fb7e186d |
completed | April 9, 2026, 6:03 p.m. |
| PD | Predicate disambiguation | batch_69d787afe5a48190b8af1a3e19529641 |
completed | April 9, 2026, 11:04 a.m. |
Created at: April 8, 2026, 9:33 p.m.