Triple
T14470144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tayran Ababil |
E358816
|
entity |
| Predicate | interpretationVariesOn |
P3474
|
FINISHED |
| Object | whether they were natural or miraculous birds |
—
|
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: whether they were natural or miraculous birds | Statement: [Tayran Ababil, interpretationVariesOn, whether they were natural or miraculous birds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: interpretationVariesOn Context triple: [Tayran Ababil, interpretationVariesOn, whether they were natural or miraculous birds]
-
A.
usageVariesBy
Indicates that the way something is used differs depending on a specified factor, such as context, user, location, or conditions.
-
B.
viewVariesAmong
chosen
Indicates that the way something is viewed, perceived, or interpreted differs across multiple entities or contexts.
-
C.
termVariesBy
Indicates that the value or meaning of a term changes depending on a specified factor, such as context, dimension, or condition.
-
D.
compositionVariesBy
Indicates that the composition of something differs depending on a specified factor, condition, or context.
-
E.
intendedInterpretation
Indicates that one entity is meant to be understood or interpreted in a particular way, sense, or meaning relative to another.
- 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_69d827966698819082e140837737501d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91f969788190a5114f92d7159aae |
completed | April 14, 2026, 7:14 p.m. |
| PD | Predicate disambiguation | batch_69de5c42bd3c81909a62acf30cc24d1e |
completed | April 14, 2026, 3:24 p.m. |
Created at: April 10, 2026, 1:20 a.m.