Triple
T38385874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gelao language |
E899576
|
entity |
| Predicate | youngerSpeakers |
P190823
|
FINISHED |
| Object | very few |
—
|
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: very few | Statement: [Gelao language, youngerSpeakers, very few]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: youngerSpeakers Context triple: [Gelao language, youngerSpeakers, very few]
-
A.
youngerSpeakersTrend
Indicates a trend or pattern in which younger speakers increasingly use, adopt, or influence a particular linguistic feature or behavior over time.
-
B.
primarySpeakersAgeGroup
Indicates the age range category to which the main or primary speakers in a context belong.
-
C.
speakers
Indicates that one or more entities produce spoken language or vocal communication, typically addressing an audience or participating in a conversation.
-
D.
youngAreCalled
Indicates that a term or name is used to refer specifically to the young or offspring of something.
-
E.
youngerTowards
Indicates that one entity is younger in age relative to another entity.
- 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_69f76e5c9b808190b486523f5c2f817d |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fcd1499e2c81909bafd84dc4810f45 |
completed | May 7, 2026, 5:52 p.m. |
| PD | Predicate disambiguation | batch_69fcccf024ec819086383ffbb6cfc036 |
completed | May 7, 2026, 5:33 p.m. |
| PDg | Predicate description generation | batch_69fcd148e6d4819082c118832ecc599b |
completed | May 7, 2026, 5:52 p.m. |
Created at: May 3, 2026, 4:31 p.m.