Triple
T4636611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taal Lake |
E101546
|
entity |
| Predicate | hasViewpoint |
P854
|
FINISHED |
| Object | Tagaytay Ridge |
E363935
|
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: Tagaytay Ridge | Statement: [Taal Lake, hasViewpoint, Tagaytay Ridge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tagaytay Ridge Context triple: [Taal Lake, hasViewpoint, Tagaytay Ridge]
-
A.
Batasan Hills
Batasan Hills is a barangay in Quezon City, Metro Manila, known for housing the Philippine House of Representatives and other key government institutions.
-
B.
Tagaytay
chosen
Tagaytay is a popular highland city in the Philippines known for its cool climate and scenic views of Taal Volcano and Taal Lake.
-
C.
Mount Makiling
Mount Makiling is a dormant volcanic mountain in Laguna, Philippines, known for its rich biodiversity, protected forest reserve, and prominence in local folklore and hiking tourism.
-
D.
Osmeña Peak
Osmeña Peak is a popular mountain and hiking destination in Cebu, Philippines, known for its jagged, picturesque peaks and panoramic views of the surrounding landscape.
-
E.
Mount Nanlaud
Mount Nanlaud is the tallest mountain on the Micronesian island of Pohnpei, known for its lush tropical rainforest and frequent cloud cover.
- 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_69bd43d2f1c081908cd4b7ec48ecc73d |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5a62a9e48190b0cf1cbcc51f00c0 |
completed | March 20, 2026, 2:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be0368d2748190bc8560ecb16e1997 |
completed | March 21, 2026, 2:33 a.m. |
Created at: March 20, 2026, 1:13 p.m.