Triple
T4335167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mayon Volcano |
E97444
|
entity |
| Predicate | locatedOn |
P40
|
FINISHED |
| Object | Philippine Mobile Belt |
E43913
|
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: Philippine Mobile Belt | Statement: [Mayon Volcano, locatedOn, Philippine Mobile Belt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Philippine Mobile Belt Context triple: [Mayon Volcano, locatedOn, Philippine Mobile Belt]
-
A.
Philippine Mobile Belt
chosen
The Philippine Mobile Belt is a tectonically active region in the western Pacific where several microplates interact, producing frequent earthquakes and volcanism.
-
B.
Banisilan
Banisilan is a landlocked agricultural municipality in the province of North Cotabato on the island of Mindanao in the Philippines.
-
C.
Nokki
Nokki is one of the four snow owl mascots created to represent the 1998 Winter Olympics held in Nagano, Japan.
-
D.
Mindoro microplate
The Mindoro microplate is a small tectonic block in the western Philippines whose interactions with surrounding plates significantly influence the region’s seismicity and geological evolution.
-
E.
Sarangani
Sarangani is a coastal province in the southern Philippines known for its rich marine biodiversity, tuna industry, and diverse indigenous cultures.
- 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_69b3454662a481908fbcd0bbfaa3a0a4 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35152bfc88190ab5d53ca38f98d8a |
completed | March 12, 2026, 11:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5d0a9967481908828ceeb76ce4cbf |
completed | March 14, 2026, 9:18 p.m. |
Created at: March 12, 2026, 11:14 p.m.