Triple
T20391805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tellar Prime |
E498102
|
entity |
| Predicate | primaryLanguageSpeakers |
P77346
|
FINISHED |
| Object | Tellarite language |
—
|
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: Tellarite language | Statement: [Tellar Prime, primaryLanguageSpeakers, Tellarite language]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryLanguageSpeakers Context triple: [Tellar Prime, primaryLanguageSpeakers, Tellarite language]
-
A.
nationalLanguageSpeakersOf
Indicates that the subject is a language and the object is a country or region where that language is officially recognized as a national language and spoken by its population.
-
B.
hasApproximateNativeSpeakers
Indicates that an entity is associated with an estimated or approximate number of people who speak it as their native language.
-
C.
secondLanguageSpeakers
Indicates that the referenced language is spoken as a second (non-native) language by the specified group or number of people.
-
D.
hasLanguageInhabitants
chosen
Indicates that a particular language is spoken or used by the inhabitants of a specified place or region.
-
E.
rankedByNumberOfNativeSpeakers
Indicates that entities are ordered or classified according to how many native speakers they have.
- 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_69e0b4a71ebc8190b153a36c738730f4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e679108b1481909677cf80e8e77e76 |
completed | April 20, 2026, 7:05 p.m. |
| PD | Predicate disambiguation | batch_69e5765d7cb48190adec18d6d1e3d263 |
completed | April 20, 2026, 12:42 a.m. |
Created at: April 16, 2026, 11:28 a.m.