Triple
T25767021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teor–Kur languages |
E648910
|
entity |
| Predicate | haveLimitedNumberOfSpeakers |
P159505
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Teor–Kur languages, haveLimitedNumberOfSpeakers, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: haveLimitedNumberOfSpeakers Context triple: [Teor–Kur languages, haveLimitedNumberOfSpeakers, true]
-
A.
hasNumberOfSpeakersCategory
Indicates a classification of an entity based on the number of speakers associated with it, typically grouping it into predefined size categories.
-
B.
numberOfSpeakersStatus
Indicates the status or condition of information about how many speakers are involved (e.g., whether the number of speakers is known, estimated, missing, or otherwise qualified).
-
C.
haveSpeakerPopulation
Indicates that an entity has a specified number or population size of people who speak a particular language.
-
D.
hasSpeakerType
Indicates that an entity functions in a particular role or category as a speaker (e.g., narrator, character, announcer) within a given context.
-
E.
hasSpeakersAmong
Indicates that a group, event, or entity includes one or more speakers drawn from a specified set or category.
- F. None of above. chosen
Provenance (4 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_69e7ab322db0819092d6a2b3d4572e01 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f5fdf3b14c8190b246bfb191815fd5 |
completed | May 2, 2026, 1:36 p.m. |
| PD | Predicate disambiguation | batch_69f4a0fed15881909b789251fe5d8d45 |
completed | May 1, 2026, 12:47 p.m. |
| PDg | Predicate description generation | batch_69f55e497fa081909bc59a7b92c5df59 |
completed | May 2, 2026, 2:15 a.m. |
Created at: April 22, 2026, 5:11 a.m.