Triple
T4446588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DowDuPont |
E96302
|
entity |
| Predicate | largestChemicalCompanyBySalesRank |
P56564
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [DowDuPont, largestChemicalCompanyBySalesRank, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: largestChemicalCompanyBySalesRank Context triple: [DowDuPont, largestChemicalCompanyBySalesRank, 1]
-
A.
majorTradingCompany
Indicates that the subject is a principal or highly significant company engaged in large-scale trading activities with the object.
-
B.
isMajorCompanyIn
Indicates that a company is a leading or dominant business entity within a specified country, region, or market.
-
C.
hasIndustrialCompany
Indicates that one entity possesses, controls, or is associated with an industrial company.
-
D.
ultimateParentCompany
Indicates that one company is the highest-level controlling entity in a corporate ownership structure, with no parent company above it.
-
E.
majorCompanyHeadquartered
Indicates that a company is a primary or significant corporate entity whose main headquarters is located in a specified place.
- F. None of above. chosen
Provenance (4 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_69b345415ba481908df738e7174448ba |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b355d1eba08190899d0a3c1684ce4e |
completed | March 13, 2026, 12:09 a.m. |
| PD | Predicate disambiguation | batch_69b34f62c180819097ced38da2052207 |
completed | March 12, 2026, 11:42 p.m. |
| PDg | Predicate description generation | batch_69b35034cd248190bae09e9d090e13ec |
completed | March 12, 2026, 11:45 p.m. |
Created at: March 12, 2026, 11:32 p.m.