Triple
T28500775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Achang |
E721222
|
entity |
| Predicate | autonymLanguageFamily |
P164594
|
FINISHED |
| Object | Tibeto-Burman |
—
|
NE NERFINISHED |
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: Tibeto-Burman | Statement: [Achang, autonymLanguageFamily, Tibeto-Burman]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: autonymLanguageFamily Context triple: [Achang, autonymLanguageFamily, Tibeto-Burman]
-
A.
autonymLanguageCode
Indicates that the associated language code is the one used by a language to refer to itself (its autonym).
-
B.
inLanguageFamily
Indicates that two languages belong to the same linguistic family or classification.
-
C.
ethnonymLanguageFamily
Indicates a relationship where an ethnonym is associated with the language family traditionally spoken or linked to that ethnic group.
-
D.
languageFamilyOf
Indicates that one entity is the language family to which the other entity (a specific language) belongs.
-
E.
languageFamily
Indicates that two or more languages belong to the same genealogical language family or linguistic lineage.
- 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_69f01a5afdac8190ac6e72d5c100bd58 |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f64f43700c8190b16ba41e7a6b4809 |
completed | May 2, 2026, 7:23 p.m. |
| PD | Predicate disambiguation | batch_69f64cb0d8008190912e1430cfaf92aa |
completed | May 2, 2026, 7:12 p.m. |
| PDg | Predicate description generation | batch_69f64db8ee1881909362701d72ffe282 |
completed | May 2, 2026, 7:17 p.m. |
Created at: April 28, 2026, 3:06 a.m.