Triple
T33867051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kamboja–Gandhara region |
E868086
|
entity |
| Predicate | languageContactAreaFor |
P17400
|
FINISHED |
| Object | Indo-Aryan languages |
—
|
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: Indo-Aryan languages | Statement: [Kamboja–Gandhara region, languageContactAreaFor, Indo-Aryan languages]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageContactAreaFor Context triple: [Kamboja–Gandhara region, languageContactAreaFor, Indo-Aryan languages]
-
A.
languageContactWith
Indicates a relationship where two or more languages come into contact through their speakers, leading to interaction and potential mutual influence.
-
B.
languageArea
Indicates the geographic or cultural region in which a particular language is used or predominantly spoken.
-
C.
linguisticArea
chosen
Indicates a regional context in which languages share features due to geographic proximity and contact rather than common genetic origin.
-
D.
linguisticStatusOfArea
Indicates the linguistic status or condition that characterizes a particular geographic area.
-
E.
nationalLanguageContact
Indicates that there is a relationship of linguistic contact or interaction between a national language and another language or language community.
- 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_69f34995029081909ede0f7df73d1a5e |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a0041860fd081908623ef9fd40a9775 |
completed | May 10, 2026, 8:27 a.m. |
| PD | Predicate disambiguation | batch_6a00414b01488190a312adb3b25d69cf |
completed | May 10, 2026, 8:26 a.m. |
Created at: May 1, 2026, 1:47 a.m.