Triple
T5024314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Western Neo-Aramaic |
E112935
|
entity |
| Predicate | nativeSpeakersEstimate |
P1246
|
FINISHED |
| Object | a few thousand |
—
|
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: a few thousand | Statement: [Western Neo-Aramaic, nativeSpeakersEstimate, a few thousand]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nativeSpeakersEstimate Context triple: [Western Neo-Aramaic, nativeSpeakersEstimate, a few thousand]
-
A.
hasApproximateNativeSpeakers
chosen
Indicates that an entity is associated with an estimated or approximate number of people who speak it as their native language.
-
B.
hasNativeSpeakers
Indicates that a language or dialect is spoken as a first language by one or more people or populations.
-
C.
hasHighProportionOfSpeakersOf
Indicates that a subject entity has a relatively large share of its population or members who speak a specified language.
-
D.
haveSpeakerPopulation
Indicates that an entity has a specified number or population size of people who speak a particular language.
-
E.
hasApproximateTotalSpeakers
Indicates that an entity is associated with an estimated or roughly calculated number of total speakers, rather than an exact count.
- 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_69bd4435c2f48190be593158cbfcf8a3 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd736852e88190b69d6561ca7604c3 |
completed | March 20, 2026, 4:18 p.m. |
| PD | Predicate disambiguation | batch_69bd714ecfe08190b5830cfc1c74fa17 |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:36 p.m.