Triple
T17625227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Balanga City |
E429822
|
entity |
| Predicate | hasCoastlineOn |
P212
|
FINISHED |
| Object | Manila Bay |
—
|
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: Manila Bay | Statement: [Balanga City, hasCoastlineOn, Manila Bay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Manila Bay Context triple: [Balanga City, hasCoastlineOn, Manila Bay]
-
A.
Manila Bay
chosen
Manila Bay is a natural harbor on the western coast of Luzon in the Philippines, historically significant as a strategic maritime gateway and site of major naval battles.
-
B.
Batangas Bay
Batangas Bay is a natural harbor on the southern coast of Luzon in the Philippines, serving as a key maritime and industrial hub for the surrounding region.
-
C.
Albay Gulf
Albay Gulf is a large inlet of the Philippine Sea in the Bicol Region of the Philippines, known for its rich marine biodiversity and coastal communities.
-
D.
Tayabas Bay
Tayabas Bay is a body of water along the southern coast of Luzon in the Philippines, known for its fishing grounds and coastal communities.
-
E.
Lagonoy Gulf
Lagonoy Gulf is a large body of water in southeastern Luzon, Philippines, known for its rich marine resources and coastal fishing communities.
- 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_69d889e37f308190a6aa0a69daff86c7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46dbc62e88190b9757dc7c52d7fee |
completed | April 19, 2026, 5:53 a.m. |
Created at: April 10, 2026, 5:52 a.m.