Triple
T17123297
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paramount |
E415521
|
entity |
| Predicate | hasIndigenousNameInfluence |
P96958
|
FINISHED |
| Object | Tongva toponyms in Los Angeles Basin |
—
|
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: Tongva toponyms in Los Angeles Basin | Statement: [Paramount, hasIndigenousNameInfluence, Tongva toponyms in Los Angeles Basin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasIndigenousNameInfluence Context triple: [Paramount, hasIndigenousNameInfluence, Tongva toponyms in Los Angeles Basin]
-
A.
isIndigenousLanguageNameOf
Indicates that a given name is the name of a language as expressed in an indigenous language.
-
B.
hasEthnicInfluence
Indicates that one entity has a cultural, traditional, or ethnic impact on, or contributes to shaping the ethnic character of, another entity.
-
C.
hasLatinInfluence
Indicates that one entity exerts or reflects cultural, linguistic, or stylistic influence derived from Latin on another entity.
-
D.
indigenousNameOf
chosen
Indicates that one entity is the name used for another entity in an indigenous or native language.
-
E.
hasIndigenousLanguageSpoken
Indicates that an entity is associated with an indigenous language that is or was spoken by it or within its context.
- 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_69d886d090cc8190a39cb94992586905 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3e80b7e6881909f7635875549a2f1 |
completed | April 18, 2026, 8:22 p.m. |
| PD | Predicate disambiguation | batch_69e35d6d20808190a38bb32e2294bc48 |
completed | April 18, 2026, 10:31 a.m. |
Created at: April 10, 2026, 5:36 a.m.