Triple
T32068634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metropolis (DC Comics city) |
E818950
|
entity |
| Predicate | hasMajorCorporation |
P10535
|
FINISHED |
| Object | LexCorp |
—
|
NE NERFINISHED |
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: LexCorp | Statement: [Metropolis (DC Comics city), hasMajorCorporation, LexCorp]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMajorCorporation Context triple: [Metropolis (DC Comics city), hasMajorCorporation, LexCorp]
-
A.
isMajorCompanyIn
Indicates that a company is a leading or dominant business entity within a specified country, region, or market.
-
B.
hadMajorCompany
Indicates that an entity previously owned, led, or was primarily associated with a major company.
-
C.
hasMajorCompanyOrigin
Indicates that an entity originates from, was founded by, or initially developed within a major company.
-
D.
hasMajorOrganization
chosen
Indicates that an entity is associated with or primarily represented by a major organization.
-
E.
hasMajorEmployer
Indicates that an entity has a primary or most significant employer with which it is chiefly affiliated for work or occupation.
- 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_69f348fecc088190af1470afe5a969f0 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a00776c4ebc8190899005fda34234d5 |
completed | May 10, 2026, 12:17 p.m. |
| PD | Predicate disambiguation | batch_6a0076f8a4c4819093ed577e67aa38f9 |
completed | May 10, 2026, 12:15 p.m. |
Created at: May 1, 2026, 12:22 a.m.