Triple
T37432598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asiana Club miles |
E930181
|
entity |
| Predicate | areIntangible |
P187813
|
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: [Asiana Club miles, areIntangible, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: areIntangible Context triple: [Asiana Club miles, areIntangible, true]
-
A.
areA
Indicates that one entity is classified as a type, instance, or member of another entity or category.
-
B.
intangibleHeritageDomain
Indicates that something belongs to, or is categorized within, a specific domain or category of intangible cultural heritage.
-
C.
hasIntangibleHeritageAspect
Indicates that something possesses or is associated with a non-physical cultural or heritage-related quality, practice, or tradition.
-
D.
voids
Indicates that one entity cancels, nullifies, or renders another entity invalid or without effect.
-
E.
nonMaterialAspect
Indicates that one entity represents an immaterial, intangible, or conceptual aspect or property 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_69f76ebfdcb8819098562ff3db673b04 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb92efc5948190a040ba2028bab964 |
completed | May 6, 2026, 7:13 p.m. |
| PD | Predicate disambiguation | batch_69fb8d0b52588190bb29937a43b99b5e |
completed | May 6, 2026, 6:48 p.m. |
| PDg | Predicate description generation | batch_69fb92ee27408190b0116ef2d789abac |
completed | May 6, 2026, 7:13 p.m. |
Created at: May 3, 2026, 4:17 p.m.