Triple
T19825858
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Panglao |
E476322
|
entity |
| Predicate | hasBeach |
P1922
|
FINISHED |
| Object | Dumaluan Beach |
—
|
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: Dumaluan Beach | Statement: [Panglao, hasBeach, Dumaluan Beach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dumaluan Beach Context triple: [Panglao, hasBeach, Dumaluan Beach]
-
A.
Dumaluan Beach
chosen
Dumaluan Beach is a popular white-sand beach on Panglao Island in the Philippines, known for its clear turquoise waters and more relaxed atmosphere compared to nearby Alona Beach.
-
B.
Arambol Beach
Arambol Beach is a popular yet relatively laid-back coastal destination in North Goa, India, known for its bohemian vibe, live music scene, and scenic cliffs.
-
C.
Bulabog Beach
Bulabog Beach is a popular beach on the island of Boracay in the Philippines, known especially for windsurfing and kitesurfing.
-
D.
Tondol Beach
Tondol Beach is a popular white-sand beach destination in Anda, Pangasinan, known for its shallow, crystal-clear waters and scenic sandbars.
-
E.
Aglicay Beach
Aglicay Beach is a tranquil white-sand beach and swimming spot on Tablas Island in the Philippines, known for its clear waters and scenic coastal views.
- 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_69d8e51c7c188190b926f3a2a7b5f881 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e656c9e7348190a569a40bd1fca6ba |
completed | April 20, 2026, 4:39 p.m. |
Created at: April 10, 2026, 1:50 p.m.