Triple
T1543575
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LUV |
E32924
|
entity |
| Predicate | hasUnderlyingCompanyPrimaryMarket |
P6746
|
FINISHED |
| Object | domestic United States |
—
|
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: domestic United States | Statement: [LUV, hasUnderlyingCompanyPrimaryMarket, domestic United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUnderlyingCompanyPrimaryMarket Context triple: [LUV, hasUnderlyingCompanyPrimaryMarket, domestic United States]
-
A.
isPrimarySecuritiesMarketOf
Indicates that a market serves as the main or principal venue where a particular entity’s securities are initially issued, listed, or predominantly traded.
-
B.
locationOfUnderlyingCompany
Indicates the geographic place where the underlying company is based, registered, or operates.
-
C.
underlyingCompany
Indicates that one entity serves as the fundamental or base company upon which another entity (such as a product, instrument, or structure) is built, derived, or dependent.
-
D.
countryOfUnderlyingCompany
chosen
Indicates the country in which the underlying company associated with an entity is legally established or primarily based.
-
E.
industryOfUnderlyingCompany
Indicates the industry sector in which the underlying company associated with this entity operates.
- 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_69a885ed29088190a3c2d5a3d100c16e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa95c1a2948190a2b98469afec1a7d |
completed | March 6, 2026, 8:52 a.m. |
| PD | Predicate disambiguation | batch_69a907b2453c8190a41f6b88c8217d1e |
completed | March 5, 2026, 4:33 a.m. |
Created at: March 4, 2026, 7:26 p.m.