Triple
T2797569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haslam family |
E53074
|
entity |
| Predicate | industryInfluence |
P8004
|
FINISHED |
| Object | U.S. truck stop industry |
—
|
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: U.S. truck stop industry | Statement: [Haslam family, industryInfluence, U.S. truck stop industry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: industryInfluence Context triple: [Haslam family, industryInfluence, U.S. truck stop industry]
-
A.
sectorInfluence
chosen
Indicates the degree to which one sector affects, shapes, or exerts control over another sector or over outcomes within that sector.
-
B.
industryContext
Indicates the industry or sector within which an entity, activity, or relationship is situated or most relevant.
-
C.
industryPerception
Indicates how an industry is viewed or regarded, typically in terms of reputation, trust, or overall public and stakeholder opinion.
-
D.
industryConsortium
Indicates a collaborative association where multiple organizations formally join together within an industry to pursue shared goals, standards, or initiatives.
-
E.
notableIndustry
Indicates that an entity is significantly recognized or prominent within a specified industry or sector.
- 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_69ab495a90788190941b6917e1eca3a6 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abddf204148190a53f3f30d645d94c |
completed | March 7, 2026, 8:12 a.m. |
| PD | Predicate disambiguation | batch_69abdd040f9481908e9c7a2df88ea1ae |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 9:58 p.m.