Triple
T8145193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lakalai language |
E190191
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Nakanai |
E269402
|
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: Nakanai | Statement: [Lakalai language, hasAlternativeName, Nakanai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nakanai Context triple: [Lakalai language, hasAlternativeName, Nakanai]
-
A.
Nakanai
chosen
Nakanai is an Austronesian language spoken on the island of New Britain in Papua New Guinea, known for its role in the linguistic diversity of the Bismarck Archipelago.
-
B.
Nakata
Nakata is a Japanese surname most famously associated with former professional footballer Hidetoshi Nakata, one of Japan’s best-known international players.
-
C.
Takamikura
Takamikura is the ornate imperial throne used in Kyoto for the enthronement ceremonies of Japanese emperors.
-
D.
Nōgata
Nōgata is a city in western Japan located in Fukuoka Prefecture on the island of Kyushu.
-
E.
Takarano
Takarano is a small settlement on the atoll of Tabiteuea in the island nation of Kiribati, located in the central Pacific Ocean.
- 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_69ca82be7ba8819087de0147e9292c83 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4445f1948190b8d319b60dd47f65 |
completed | March 31, 2026, 3:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf8855a9c081909721a2efdc06d778 |
completed | April 3, 2026, 9:28 a.m. |
Created at: March 30, 2026, 5:36 p.m.