Triple
T23505033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bantawa language |
E572257
|
entity |
| Predicate | primarySpeakersResidence |
P22499
|
FINISHED |
| Object | eastern hills of Nepal |
—
|
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: eastern hills of Nepal | Statement: [Bantawa language, primarySpeakersResidence, eastern hills of Nepal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primarySpeakersResidence Context triple: [Bantawa language, primarySpeakersResidence, eastern hills of Nepal]
-
A.
primarySpeakers
Indicates the entities that are the main or most significant speakers associated with another entity (such as an event, recording, or language).
-
B.
hostResidenceOf
Indicates that a location serves as the primary place of residence for a specified person or group.
-
C.
residencyAt
Indicates that an entity lives or has an established residence at a particular location or address.
-
D.
formerResidenceOf
Indicates that a location was once the place where a person or entity lived or was based, but is no longer their current residence.
-
E.
hasResidenceIn
chosen
Indicates that an entity lives or maintains a primary dwelling in a specified location.
- 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_69e245b5e4208190bac8a6509867e394 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a8ff97c88190a67f787e1674619e |
completed | April 29, 2026, 6:45 a.m. |
| PD | Predicate disambiguation | batch_69f0621165c08190a0b27b1319733959 |
completed | April 28, 2026, 7:30 a.m. |
Created at: April 17, 2026, 6:07 p.m.