Triple
T18912749
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valverde del Fresno |
E462646
|
entity |
| Predicate | languageCommunityOf |
P5562
|
FINISHED |
| Object | Fala speakers |
—
|
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: Fala speakers | Statement: [Valverde del Fresno, languageCommunityOf, Fala speakers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageCommunityOf Context triple: [Valverde del Fresno, languageCommunityOf, Fala speakers]
-
A.
hasLanguageCommunity
chosen
Indicates that an entity is associated with or serves a particular language community.
-
B.
languageUsedInLocality
Indicates that a particular language is used or spoken within a specific locality or geographic area.
-
C.
languageLocalCommunities
Indicates that a language is used, maintained, or holds significance within specific local communities or regions.
-
D.
majorityLanguageOf
Indicates that a given language is the primary or most widely spoken language within a specified group, region, or entity.
-
E.
languageGroupSpoken
Indicates that a particular language group is spoken or used for communication by an 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_69d8dcfdbbb881909964fa5a75bd0b48 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c624516c81909e6bf04707d3c71c |
completed | April 20, 2026, 6:22 a.m. |
| PD | Predicate disambiguation | batch_69e4a2e9e6488190ba8df92c8058ed88 |
completed | April 19, 2026, 9:39 a.m. |
Created at: April 10, 2026, 11:58 a.m.