Triple
T28492930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dawson, New Mexico |
E721023
|
entity |
| Predicate | DoloresHuertaCoFounderOf |
P102368
|
FINISHED |
| Object | United Farm Workers |
—
|
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: United Farm Workers | Statement: [Dawson, New Mexico, DoloresHuertaCoFounderOf, United Farm Workers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: DoloresHuertaCoFounderOf Context triple: [Dawson, New Mexico, DoloresHuertaCoFounderOf, United Farm Workers]
-
A.
notableFemaleMember
Indicates that an entity has a female member who is particularly prominent, distinguished, or noteworthy within that entity.
-
B.
founderKnownFor
Indicates that a founder is particularly recognized or notable for a specific work, achievement, product, or contribution.
-
C.
founderOfParentOrganization
Indicates that one entity is the founder of another entity that serves as the parent organization of a specified group or subsidiary.
-
D.
foundingLeaderOf
chosen
Indicates that an entity is the primary founder who established and initially led another entity, such as an organization, movement, or institution.
-
E.
spouseOfFounderOf
Indicates that one entity is the spouse of another entity who is the founder of a specified organization or entity.
- 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_69f01a5afdac8190ac6e72d5c100bd58 |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f65876c52c8190bc889c7a67bd07f3 |
completed | May 2, 2026, 8:03 p.m. |
| PD | Predicate disambiguation | batch_69f6575d89788190aca478e4aea05a65 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 28, 2026, 3:02 a.m.