Triple
T32098842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karakhanid language |
E819790
|
entity |
| Predicate | glottalStop |
P173561
|
FINISHED |
| Object | present |
—
|
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: present | Statement: [Karakhanid language, glottalStop, present]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: glottalStop Context triple: [Karakhanid language, glottalStop, present]
-
A.
glottalStopSymbolName
Indicates a relationship where a written symbol is identified as representing a glottal stop sound by its specific name.
-
B.
isGuttural
Indicates that a sound, phoneme, or articulation is produced in the throat or back of the vocal tract (i.e., is guttural).
-
C.
glottographicType
Indicates the type or nature of a writing or script system used to represent language glottographically.
-
D.
hasVoicelessStops
Indicates that the subject language or sound system includes voiceless stop consonants (such as [p], [t], [k]) in its phonemic inventory.
-
E.
placeOfArticulation
Indicates the specific location within the vocal tract where a speech sound is produced.
- 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_69f34901106881908ea893ad504a08be |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b647a7a88190aeef1b9b1e2d5f3b |
completed | May 3, 2026, 2:43 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a970b0819090c6473844ffa8e3 |
completed | May 3, 2026, 2:32 a.m. |
| PDg | Predicate description generation | batch_69f6b49339048190b617a6749f648825 |
completed | May 3, 2026, 2:36 a.m. |
Created at: May 1, 2026, 12:26 a.m.