Triple
T8573696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Batangas City |
E202991
|
entity |
| Predicate | portServes |
P1763
|
FINISHED |
| Object | Romblon |
E192440
|
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: Romblon | Statement: [Batangas City, portServes, Romblon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Romblon Context triple: [Batangas City, portServes, Romblon]
-
A.
Romblon
chosen
Romblon is an island province in the Philippines known for its marble industry, clear waters, and scenic beaches.
-
B.
Romblon Bisaya
Romblon Bisaya is an Austronesian language spoken in the Philippine province of Romblon, closely related to other Visayan languages.
-
C.
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.
-
D.
Dinagat Islands
Dinagat Islands is a province in the Caraga region of the Philippines known for its rugged coastline, rich marine biodiversity, and relatively remote, less-developed island communities.
-
E.
Marinduque
Marinduque is an island province in the Philippines known for its heart-shaped geography and the annual Moriones Festival.
- 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_69ca8328ebe481909a8c038fa79959b4 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbea458c1081908e79bee2cbf97207 |
completed | March 31, 2026, 3:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf9ffe17e481908516d2f526d60684 |
completed | April 3, 2026, 11:09 a.m. |
Created at: March 30, 2026, 6:21 p.m.