Triple
T6599185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lau (Malaita) |
E148551
|
entity |
| Predicate | hasNeighbouringLanguage |
P16383
|
FINISHED |
| Object | To'abaita |
E538596
|
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: To'abaita | Statement: [Lau (Malaita), hasNeighbouringLanguage, To'abaita]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: To'abaita Context triple: [Lau (Malaita), hasNeighbouringLanguage, To'abaita]
-
A.
Toabaita
chosen
Toabaita is an Oceanic language spoken in the Solomon Islands, primarily on Malaita Island.
-
B.
Toqabaqita
Toqabaqita is an Oceanic language spoken in the Solomon Islands, particularly on Malaita Island.
-
C.
Putaendo
Putaendo is a small Chilean city in the Valparaíso Region, known for its rural character, historical heritage, and location in the Aconcagua Valley.
-
D.
Izberbash
Izberbash is a coastal city on the Caspian Sea in the Republic of Dagestan, Russia, known for its fishing industry and role as a regional transport and economic center.
-
E.
Taboiaki
Taboiaki is a village settlement on the atoll of Nonouti in the Republic of Kiribati 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_69c687e7b8688190811ffee72e096468 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6aeeffdf0819090af7bba918bef84 |
completed | March 27, 2026, 4:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6e43224dc81909dea493a5ee2726e |
completed | March 27, 2026, 8:10 p.m. |
Created at: March 27, 2026, 1:56 p.m.