Triple
T35572001
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | region of Samaria |
E1027965
|
entity |
| Predicate | modernLanguagesSpoken |
P741
|
FINISHED |
| Object | Arabic |
—
|
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: Arabic | Statement: [region of Samaria, modernLanguagesSpoken, Arabic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: modernLanguagesSpoken Context triple: [region of Samaria, modernLanguagesSpoken, Arabic]
-
A.
isWidelySpokenIn
Indicates that a language is spoken by a large portion of the population across many regions or communities within a specified area.
-
B.
languagesSpoken
chosen
Indicates that an entity is able to communicate using one or more specified languages.
-
C.
nationalLanguageSpoken
Indicates that a particular language is officially recognized and commonly used as a national language within a given country or region.
-
D.
oneOfMostSpokenLanguages
Indicates that a language is among the most widely spoken languages within a given population or context.
-
E.
isSpokenLanguageOf
Indicates that a particular language is used as the spoken language by a specified person, group, or community.
- 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_69f76e0386688190b931bacdc145938c |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fd509e6bc08190b263923c2f40fea3 |
completed | May 8, 2026, 2:55 a.m. |
| PD | Predicate disambiguation | batch_69fd4fd1a58881909d4b84de1b24e380 |
completed | May 8, 2026, 2:52 a.m. |
Created at: May 3, 2026, 4:04 p.m.