Triple
T9559167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pukapuka |
E230623
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Loto |
E807756
|
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: Loto | Statement: [Pukapuka, hasSettlement, Loto]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Loto Context triple: [Pukapuka, hasSettlement, Loto]
-
A.
Loto
chosen
Loto is a small village on Pukapuka Atoll in the Cook Islands, known for its traditional Polynesian community and remote Pacific island setting.
-
B.
TOTO
TOTO is the commonly used abbreviation for the Tongue of the Ocean, a deep, U-shaped submarine trench in the Bahamas.
-
C.
Lotter
Lotter is a German surname historically associated with printers and publishers active during the Reformation era.
-
D.
Ludo
Ludo is a gentle, horned beast-like creature from the fantasy film "Labyrinth" who befriends Sarah and helps her navigate the Goblin King's maze.
-
E.
Ludo
Ludo is a common short form or nickname for the given name Ludovica.
- 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_69ca847e53a88190a60eed7e02257f10 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd994a7e9c8190b68883c2ea45aa1a |
completed | April 1, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1613faca48190a4117fb151eb3ec4 |
completed | April 4, 2026, 7:06 p.m. |
Created at: March 30, 2026, 8:03 p.m.