Triple
T6564815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hiw |
E153875
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Hiw language |
E153875
|
NE 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: Hiw language | Statement: [Hiw, hasAlternativeName, Hiw language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hiw language Context triple: [Hiw, hasAlternativeName, Hiw language]
-
A.
Ho language
Ho language is an Austroasiatic language of the Munda family spoken primarily by the Ho people in eastern India, particularly in Jharkhand and Odisha.
-
B.
Hiw
chosen
Hiw is an Oceanic language spoken on Hiw Island in northern Vanuatu, known for its small speaker population and distinctive phonological features.
-
C.
Ha language
Ha language is a Bantu language spoken primarily by the Ha people in western Tanzania, particularly around the shores of Lake Tanganyika.
-
D.
Hewa language
The Hewa language is a lesser-known Austronesian language spoken on the Indonesian islands of Flores and/or Lembata, belonging to the Flores–Lembata subgroup.
-
E.
JW Language
JW Language is a mobile app developed by Jehovah’s Witnesses to help users learn and practice foreign languages for use in their religious activities.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c6880cb35881909b763eb0125236b9 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ae3b9ec8819080f3052556d95810 |
completed | March 27, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d5622e0481909b0ac0f4e06d19bc |
completed | March 27, 2026, 7:07 p.m. |
Created at: March 27, 2026, 1:52 p.m.