Triple
T31925084
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Acanthodoras |
E815080
|
entity |
| Predicate | usesBarbelsFor |
P177177
|
FINISHED |
| Object | detecting food |
—
|
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: detecting food | Statement: [Acanthodoras, usesBarbelsFor, detecting food]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesBarbelsFor Context triple: [Acanthodoras, usesBarbelsFor, detecting food]
-
A.
hasBarbels
Indicates that an entity possesses barbels, i.e., whisker-like sensory appendages typically located near the mouth.
-
B.
hasArms
Indicates that an entity possesses arms as physical appendages.
-
C.
supportingArms
Indicates that one entity provides military or tactical support, such as firepower or cover, to assist another entity’s operations.
-
D.
armType
Indicates the specific kind or configuration of an arm associated with an entity.
-
E.
providesCounterbalanceTo
Indicates that one entity serves to offset, balance, or mitigate the effects, influence, or force of another entity.
- 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_69f348f1df848190851bbfb988da3414 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6f85bfba48190aba95b40642a8ca7 |
completed | May 3, 2026, 7:25 a.m. |
| PD | Predicate disambiguation | batch_69f6f65fd1d08190b88e5e68ba268500 |
completed | May 3, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69f6f854486c81909396d944a55e03ab |
completed | May 3, 2026, 7:25 a.m. |
Created at: May 1, 2026, 12:03 a.m.