Triple
T13657315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NDK |
E326894
|
entity |
| Predicate | servesSettlement |
P2741
|
FINISHED |
| Object | Namdrik |
E326892
|
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: Namdrik | Statement: [NDK, servesSettlement, Namdrik]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Namdrik Context triple: [NDK, servesSettlement, Namdrik]
-
A.
Namdrik
chosen
Namdrik is a small inhabited atoll in the Marshall Islands known for its lagoon, traditional Marshallese culture, and copra production.
-
B.
Nyishi
The Nyishi are one of the major indigenous tribes of northeastern India, known for their distinct language, traditional bamboo and cane craftsmanship, and rich cultural heritage.
-
C.
Angarkha
Angarkha is a traditional South Asian upper garment, typically a long, wrap-style tunic with side ties, historically worn by men in regions of India and neighboring areas.
-
D.
Kuiil
Kuiil is a wise and skilled Ugnaught moisture farmer and former Imperial indentured servant who aids the Mandalorian with his technical expertise and calm counsel in the Star Wars series "The Mandalorian."
-
E.
Nadym
Nadym is a town in the Yamalo-Nenets Autonomous Okrug of Russia, known as a regional center for the natural gas industry and served by its own airport.
- 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_69d8076d8270819092afc2f0e9c359a8 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc61d56e4819084ae3c16ecdf4a05 |
completed | April 12, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f78b06c5d081909d31b8a537c94edb |
completed | May 3, 2026, 5:51 p.m. |
Created at: April 9, 2026, 9:52 p.m.