Triple
T31933259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lufkin Industries |
E815312
|
entity |
| Predicate | hasKeyCustomerIndustry |
P71415
|
FINISHED |
| Object | upstream oil and gas |
—
|
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: upstream oil and gas | Statement: [Lufkin Industries, hasKeyCustomerIndustry, upstream oil and gas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasKeyCustomerIndustry Context triple: [Lufkin Industries, hasKeyCustomerIndustry, upstream oil and gas]
-
A.
hasCustomerIndustry
chosen
Indicates that a customer is associated with or operates within a particular industry or sector.
-
B.
hasKeyBusiness
Indicates that one entity possesses or is associated with a primary or strategically important business of another entity.
-
C.
hasKeyBusinessArea
Indicates that an entity is associated with or operates within a particular primary business area or domain.
-
D.
hasPrincipalIndustry
Indicates that an entity’s main or primary industry of operation is the specified industry.
-
E.
isAssociatedWithIssuerIndustry
Indicates that an entity has a relationship or connection to the industry in which the issuer 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_69f348f3035c81908558e2339955abb3 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f78c61ed4c8190ad84c918fa9af55a |
completed | May 3, 2026, 5:56 p.m. |
| PD | Predicate disambiguation | batch_69f78b8cb3a881909ebaac1b503988c2 |
completed | May 3, 2026, 5:53 p.m. |
Created at: May 1, 2026, 12:04 a.m.