Triple
T17114312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Volcán Maderas Natural Reserve |
E415300
|
entity |
| Predicate | hasAccessPoint |
P1985
|
FINISHED |
| Object | Balgüe |
E402685
|
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: Balgüe | Statement: [Volcán Maderas Natural Reserve, hasAccessPoint, Balgüe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Balgüe Context triple: [Volcán Maderas Natural Reserve, hasAccessPoint, Balgüe]
-
A.
Balgüe
chosen
Balgüe is a small rural village on Ometepe Island in Lake Nicaragua, known for its scenic setting near volcanic landscapes and eco-tourism lodges.
-
B.
Taebong
Taebong was a short-lived Korean kingdom of the early 10th century that emerged during the Later Three Kingdoms period before being absorbed by Goryeo.
-
C.
Milbong
Milbong is a rural locality in Queensland, Australia, known for its agricultural landscape and small-community character within the Scenic Rim region.
-
D.
Bokpyin
Bokpyin is a coastal town in southern Myanmar known for its location near the Andaman Sea and its role in regional fishing and trade.
-
E.
Sokcho
Sokcho is a coastal city in northeastern South Korea known for its beaches, seafood, and proximity to Seoraksan National Park.
- 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_69d886d090cc8190a39cb94992586905 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3e803ff848190b884fd2c3cc0ee48 |
completed | April 18, 2026, 8:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01482766508190b2af157bf039000d |
completed | May 11, 2026, 3:08 a.m. |
Created at: April 10, 2026, 5:35 a.m.