Triple
T10376300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | neutrino oscillation |
E244515
|
entity |
| Predicate | confirmedBy |
P653
|
FINISHED |
| Object | Daya Bay |
E547024
|
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: Daya Bay | Statement: [neutrino oscillation, confirmedBy, Daya Bay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daya Bay Context triple: [neutrino oscillation, confirmedBy, Daya Bay]
-
A.
Daya Bay
chosen
Daya Bay is a coastal bay in Guangdong Province, China, known for its industrial development, nuclear power station, and marine environment along the South China Sea.
-
B.
Angra Bay
Angra Bay is a natural harbor on Terceira Island in the Azores, Portugal, historically significant as a strategic Atlantic port and now known for its scenic coastal landscape.
-
C.
Tonsai Bay
Tonsai Bay is a scenic coastal area on Thailand’s Phi Phi Islands known for its turquoise waters, limestone cliffs, and role as a gateway for boats and ferries.
-
D.
Risan Bay
Risan Bay is a smaller inlet within Montenegro’s Bay of Kotor, known for its scenic coastal landscape and proximity to the historic town of Risan.
-
E.
Nehalem Bay
Nehalem Bay is a coastal inlet on the northern Oregon coast known for its scenic beaches, estuarine wildlife, and recreational activities such as fishing, crabbing, and boating.
- 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_69d381b3e328819094b23b8edcd29b5a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e98278e08190a4d3ff88b4039e49 |
completed | April 7, 2026, 11:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d795754570819093747f80e32fffce |
completed | April 9, 2026, 12:03 p.m. |
Created at: April 6, 2026, 12:02 p.m.