Triple
T27053877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parahyaena brunnea |
E684847
|
entity |
| Predicate | legPattern |
P23297
|
FINISHED |
| Object | striped legs |
—
|
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: striped legs | Statement: [Parahyaena brunnea, legPattern, striped legs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legPattern Context triple: [Parahyaena brunnea, legPattern, striped legs]
-
A.
hasFootPatternVariant
Indicates a relationship where an entity possesses a specific variant of a foot pattern distinct from other possible foot pattern types.
-
B.
legCharacteristic
chosen
Indicates a characteristic, property, or attribute that specifically pertains to the legs of an entity.
-
C.
hatPattern
Indicates that one entity has a hat characterized by a specific pattern or design.
-
D.
patroonOf
Indicates a relationship in which one entity acts as a patron, sponsor, or protector providing support or resources to another entity.
-
E.
wingPattern
Indicates the characteristic arrangement or design present on an entity's wings.
- 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_69ef14829fac8190914bef9ecc3005d7 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f622b26848819098a558a4baf592fa |
completed | May 2, 2026, 4:13 p.m. |
| PD | Predicate disambiguation | batch_69f61b3ee7b08190a0a1bc5d26b757aa |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 27, 2026, 8:16 a.m.