Triple
T9461570
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waigali |
E228157
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Waigalī |
E228157
|
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: Waigalī | Statement: [Waigali, hasAlternativeName, Waigalī]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Waigalī Context triple: [Waigali, hasAlternativeName, Waigalī]
-
A.
Nausori
Nausori is a town in Fiji located near the capital Suva on the island of Viti Levu, known for its airport and role as a regional commercial center.
-
B.
Waigali
chosen
Waigali is a Nuristani language spoken by the Waigal Valley communities in eastern Afghanistan, known for preserving archaic features distinct from surrounding Indo-Aryan and Iranian languages.
-
C.
Wàitān
Wàitān is the Chinese pinyin name for the Bund, Shanghai’s famous historic waterfront promenade along the Huangpu River known for its colonial-era architecture and skyline views.
-
D.
Ōhinehou
Ōhinehou is the traditional Māori name for the port town of Lyttelton in Canterbury, New Zealand.
-
E.
Matakohe
Matakohe is a small rural settlement in New Zealand best known for its Kauri Museum and historic connections to the kauri gum and timber industries.
- 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_69ca843b123881909b0e60028475d12d |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7fcc8b1881908aa6ee13ab195330 |
completed | April 1, 2026, 8:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1229ec9448190bac9b7a38e030833 |
completed | April 4, 2026, 2:39 p.m. |
Created at: March 30, 2026, 7:52 p.m.