Triple
T34528199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maplewood Cemetery, Durham, North Carolina |
E886460
|
entity |
| Predicate | hasAssociationWithIndustry |
P110684
|
FINISHED |
| Object | tobacco industry of Durham |
—
|
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: tobacco industry of Durham | Statement: [Maplewood Cemetery, Durham, North Carolina, hasAssociationWithIndustry, tobacco industry of Durham]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAssociationWithIndustry Context triple: [Maplewood Cemetery, Durham, North Carolina, hasAssociationWithIndustry, tobacco industry of Durham]
-
A.
containsIndustry
Indicates that one entity includes or encompasses a particular industry within its scope, structure, or operations.
-
B.
hasPrincipalIndustry
Indicates that an entity’s main or primary industry of operation is the specified industry.
-
C.
hasIndustryTies
chosen
Indicates that an entity maintains professional, financial, or organizational connections with a particular industry or sector.
-
D.
hasFoundingIndustryAssociation
Indicates that an entity is associated with an industry organization that played a role in its founding or establishment.
-
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_69f349cd7c148190aa99192b126d1527 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fcda3699948190adb57625bae08091 |
completed | May 7, 2026, 6:30 p.m. |
| PD | Predicate disambiguation | batch_69fcd8fd16d08190b0aca6e19a632e99 |
completed | May 7, 2026, 6:25 p.m. |
Created at: May 1, 2026, 2:02 a.m.