Triple
T34065850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cesar Chavez Street |
E873618
|
entity |
| Predicate | namedForEponymNotability |
P124100
|
FINISHED |
| Object | civil rights activism |
—
|
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: civil rights activism | Statement: [Cesar Chavez Street, namedForEponymNotability, civil rights activism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: namedForEponymNotability Context triple: [Cesar Chavez Street, namedForEponymNotability, civil rights activism]
-
A.
hasEponymNotability
Indicates that an entity is notable specifically for having something (such as a place, object, or concept) named after it.
-
B.
namedForNotabilityOfHonoree
chosen
Indicates that something is named in recognition of the honoree’s notable achievements, status, or significance.
-
C.
nameTypeNotability
Indicates that the type or category of a name is determined or influenced by the notability or prominence associated with it.
-
D.
isNamedForEponymRole
Indicates that one entity bears a name derived from another entity that serves as its eponym or namesake.
-
E.
hasNamesakeNotability
Indicates that one entity is notable or recognized specifically because it shares the same name as another 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_69f349a4af208190afa14888f9c9fb9d |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fccdd496048190bca801a8a9eecb62 |
completed | May 7, 2026, 5:37 p.m. |
| PD | Predicate disambiguation | batch_69fcccee6240819084680887731ff64b |
completed | May 7, 2026, 5:33 p.m. |
Created at: May 1, 2026, 1:52 a.m.