Triple
T21752776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gerber baby trademark image |
E536954
|
entity |
| Predicate | companyHeadquartersLocationAtIntroduction |
P145126
|
FINISHED |
| Object | Fremont, Michigan |
—
|
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: Fremont, Michigan | Statement: [Gerber baby trademark image, companyHeadquartersLocationAtIntroduction, Fremont, Michigan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: companyHeadquartersLocationAtIntroduction Context triple: [Gerber baby trademark image, companyHeadquartersLocationAtIntroduction, Fremont, Michigan]
-
A.
headquartersLocationOfFoundedOrganization
Indicates that a location serves as the headquarters of an organization that was founded there.
-
B.
headquartersFoundedAt
Indicates that an organization's headquarters was originally established at a specific location.
-
C.
headquartersLocation
Indicates the place where an organization’s main administrative center or principal office is located.
-
D.
laterCompanyHeadquartersCity
Indicates that the specified city is the location of a company’s headquarters during a later period in time, following an earlier headquarters location.
-
E.
headquartersFoundedCompanyIn
Indicates that a headquarters entity established or founded a particular company.
- 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_69e0c46eab808190b848242d63a17c47 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f01d8b8b9c8190b1f6a8bc25d69dbb |
completed | April 28, 2026, 2:38 a.m. |
| PD | Predicate disambiguation | batch_69e6969e46088190b13d6e9025775ea3 |
completed | April 20, 2026, 9:11 p.m. |
| PDg | Predicate description generation | batch_69e69b4aa2b48190830107391e81571a |
completed | April 20, 2026, 9:31 p.m. |
Created at: April 16, 2026, 6:50 p.m.