Triple
T18842348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orion Bar |
E460827
|
entity |
| Predicate | isElongated |
P71793
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Orion Bar, isElongated, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isElongated Context triple: [Orion Bar, isElongated, true]
-
A.
isElongatedDueTo
Indicates that one entity becomes longer in shape, form, or duration specifically as a result of the influence or effect of another entity or factor.
-
B.
hasLongStretchIn
chosen
Indicates that something extends for a considerable or continuous distance within a specified area, medium, or context.
-
C.
isBroad
Indicates that something has a large width or extensive scope relative to a reference or context.
-
D.
isEccentric
Indicates that an entity behaves or appears in a way that deviates noticeably from conventional or expected norms.
-
E.
isThickenedWith
Indicates that one substance has been made more viscous or dense by adding another substance that serves as a thickening agent.
- 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_69d8dcfa11e4819090ab1ef5bdcd2b2e |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5b8eb32548190b2313e877f6ff179 |
completed | April 20, 2026, 5:26 a.m. |
| PD | Predicate disambiguation | batch_69e48d1e7dac81909ea1e758c87773c5 |
completed | April 19, 2026, 8:06 a.m. |
Created at: April 10, 2026, 11:56 a.m.