Triple
T33319896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United Business |
E853108
|
entity |
| Predicate | historicalBrandContext |
P156408
|
FINISHED |
| Object | predecessor to or parallel with United Polaris Business on many long-haul routes |
—
|
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: predecessor to or parallel with United Polaris Business on many long-haul routes | Statement: [United Business, historicalBrandContext, predecessor to or parallel with United Polaris Business on many long-haul routes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicalBrandContext Context triple: [United Business, historicalBrandContext, predecessor to or parallel with United Polaris Business on many long-haul routes]
-
A.
historicalBrandOwner
Indicates that one entity was a past (but not current) owner of a particular brand.
-
B.
brandHistory
chosen
Indicates the historical background, evolution, and significant past events associated with a particular brand.
-
C.
brandEvolution
Indicates how a brand’s identity, positioning, or attributes change and develop over time.
-
D.
introducedAsBrandBy
Indicates that one entity was presented or launched to the public or a market as a brand by another entity.
-
E.
hasHistoricalContext
Indicates that something is related to, influenced by, or best understood in light of specific past events, conditions, or time periods.
- 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_69f349685f088190b8fda44083a018a9 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fff86e544c81908063f61b876c9d78 |
completed | May 10, 2026, 3:15 a.m. |
| PD | Predicate disambiguation | batch_69fff7e7cb688190977eeca41aad25b9 |
completed | May 10, 2026, 3:13 a.m. |
Created at: May 1, 2026, 1:33 a.m.