Triple
T20493677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | General Luna |
E502810
|
entity |
| Predicate | nearbyCity |
P350
|
FINISHED |
| Object | Dapa |
—
|
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: Dapa | Statement: [General Luna, nearbyCity, Dapa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dapa Context triple: [General Luna, nearbyCity, Dapa]
-
A.
Dapa
chosen
Dapa is a coastal town on Siargao Island in the Philippines that serves as the island’s main port and commercial hub.
-
B.
Omapere
Omapere is a small coastal settlement and holiday destination on the southern shore of Hokianga Harbour in New Zealand’s Northland Region.
-
C.
Deripaska
Deripaska is the surname of Oleg Deripaska, a prominent Russian oligarch and industrialist known for his extensive interests in the aluminum industry and close ties to political elites.
-
D.
Uda
Uda is a city located in Nara Prefecture, Japan, known for its historical sites and natural scenery.
-
E.
Nisu
Nisu is a Tibeto-Burman language spoken primarily by a subgroup of the Yi people in southwestern China.
- 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_69e0b4b0373881909dd3e9387f82eab4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69cbc58d08190bf3f6b60259a8be1 |
completed | April 20, 2026, 9:38 p.m. |
Created at: April 16, 2026, 11:35 a.m.