Triple
T18381404
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sumilon Island |
E446455
|
entity |
| Predicate | nearbyAttraction |
P3449
|
FINISHED |
| Object | Tumalog Falls |
—
|
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: Tumalog Falls | Statement: [Sumilon Island, nearbyAttraction, Tumalog Falls]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tumalog Falls Context triple: [Sumilon Island, nearbyAttraction, Tumalog Falls]
-
A.
Tumalog Falls
chosen
Tumalog Falls is a picturesque curtain-like waterfall near Oslob in Cebu, Philippines, known for its tall, gently cascading waters and natural swimming pools.
-
B.
Malabsay Falls
Malabsay Falls is a scenic natural waterfall and popular eco-tourism destination located near Mount Isarog in Camarines Sur, Philippines.
-
C.
Paraeso Falls
Paraeso Falls is a scenic waterfall located in Ulju County, Ulsan, South Korea, known for its natural beauty and tranquil forest surroundings.
-
D.
Tamaraw Falls
Tamaraw Falls is a scenic multi-tiered waterfall in Oriental Mindoro, Philippines, known for its lush forest surroundings and easy roadside accessibility to visitors.
-
E.
Bugnawan Falls
Bugnawan Falls is a scenic, cold-spring waterfall and popular nature spot located in the municipality of Ginatilan in Cebu, Philippines.
- 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_69d8b9f370b88190b1e5081c2c238e7f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e5179b60f88190adf39e85375bd11b |
completed | April 19, 2026, 5:57 p.m. |
Created at: April 10, 2026, 10:45 a.m.