Triple
T8079333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marinduque |
E188574
|
entity |
| Predicate | island |
P970
|
FINISHED |
| Object | Marinduque Island |
E188574
|
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: Marinduque Island | Statement: [Marinduque, island, Marinduque Island]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marinduque Island Context triple: [Marinduque, island, Marinduque Island]
-
A.
Siquijor Island
Siquijor Island is a small Philippine island province in the central Visayas region, known for its white-sand beaches, coral reefs, and folklore surrounding mysticism and traditional healing.
-
B.
Romblon Island
Romblon Island is a small island in the central Philippines known for its marble industry, coastal landscapes, and role as the capital island of Romblon province.
-
C.
Island Surigaonon
Island Surigaonon is a regional dialect of the Surigaonon language spoken primarily in island communities of Surigao in the Philippines.
-
D.
Marinduque
chosen
Marinduque is an island province in the Philippines known for its heart-shaped geography and the annual Moriones Festival.
-
E.
Bantayan Island
Bantayan Island is a scenic island in the central Philippines known for its white-sand beaches, clear waters, and laid-back coastal villages.
- 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_69ca82b662e88190b9323daab8c28a21 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb40a3f01c819096a2c9d5d5199fe6 |
completed | March 31, 2026, 3:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce38eaf93481908939e770f0dda7f5 |
completed | April 2, 2026, 9:37 a.m. |
Created at: March 30, 2026, 5:28 p.m.