Triple
T22253259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beit Awwa |
E550030
|
entity |
| Predicate | hasNearbyLocality |
P3883
|
FINISHED |
| Object | Sikka |
—
|
NE NERFINISHED |
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: Sikka | Statement: [Beit Awwa, hasNearbyLocality, Sikka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sikka Context triple: [Beit Awwa, hasNearbyLocality, Sikka]
-
A.
Sikka
chosen
Sikka is an Austronesian language spoken primarily by the Sikka people on the island of Flores in eastern Indonesia.
-
B.
Kahaku
Kahaku is Japan’s National Museum of Nature and Science in Tokyo, renowned for its extensive natural history and scientific collections and exhibitions.
-
C.
Sikiajhora
Sikiajhora is a forest stream and wetland area within West Bengal’s Buxa Tiger Reserve, known for its rich biodiversity and boat-based wildlife viewing.
-
D.
Seppa
Seppa is a town in the East Kameng district of Arunachal Pradesh in northeastern India, serving as an administrative and cultural center in the Himalayan foothills.
-
E.
Matsukata
Matsukata is a Japanese surname most notably associated with Matsukata Masayoshi, a prominent Meiji-era statesman and former Prime Minister of Japan.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e42adb8819087714772ea606709 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f138c0c4f48190a75473a7835014f1 |
completed | April 28, 2026, 10:46 p.m. |
Created at: April 16, 2026, 8:39 p.m.