Triple
T36496317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gabrielino language |
E899199
|
entity |
| Predicate | placeNameInfluence |
P98810
|
FINISHED |
| Object | source of many place names in the Los Angeles region |
—
|
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: source of many place names in the Los Angeles region | Statement: [Gabrielino language, placeNameInfluence, source of many place names in the Los Angeles region]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: placeNameInfluence Context triple: [Gabrielino language, placeNameInfluence, source of many place names in the Los Angeles region]
-
A.
placeOfInfluence
Indicates the location or area where an entity exerts significant impact, authority, or cultural, social, or intellectual influence.
-
B.
cityOfInfluence
Indicates the city that significantly shapes, impacts, or exerts influence over a given entity.
-
C.
influenceOnToponymy
chosen
Indicates that one entity has affected or shaped the naming, form, or development of place names associated with another entity.
-
D.
influencesRegion
Indicates that one entity has an effect on, shapes, or alters the conditions, characteristics, or behavior of a specified region.
-
E.
countryInfluence
Indicates the degree to which one country affects or shapes the policies, decisions, or conditions within another country or in the international arena.
- 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_69f76e5ad4588190bdbce60c52fbb785 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fd9ff026a48190bfec33deeb3b2c43 |
completed | May 8, 2026, 8:33 a.m. |
| PD | Predicate disambiguation | batch_69fd97d805bc8190ba12f429d3ad04c7 |
completed | May 8, 2026, 7:59 a.m. |
Created at: May 3, 2026, 4:10 p.m.