Triple
T15228657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Noveleta |
E363941
|
entity |
| Predicate | hasBodyOfWater |
P1778
|
FINISHED |
| Object | Bacoor Bay |
E251496
|
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: Bacoor Bay | Statement: [Noveleta, hasBodyOfWater, Bacoor Bay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bacoor Bay Context triple: [Noveleta, hasBodyOfWater, Bacoor Bay]
-
A.
Bacoor Bay
chosen
Bacoor Bay is a coastal inlet in the province of Cavite in the Philippines, forming part of the larger Manila Bay and bordered by the city of Bacoor.
-
B.
Balayan Bay
Balayan Bay is a coastal bay in the province of Batangas on the southwestern part of Luzon in the Philippines, known for its fishing grounds and scenic shoreline.
-
C.
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.
-
D.
Sibuguey Bay
Sibuguey Bay is a coastal body of water in the southern Philippines known for its rich marine biodiversity and fishing grounds along the shores of Zamboanga Sibugay.
-
E.
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.
- 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_69d85a0ce24c81909c4d3b6475548c95 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0078ccdf48190b34eabd9e24e45a1 |
completed | April 15, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fee5edca5c8190827788324a9e886d |
completed | May 9, 2026, 7:44 a.m. |
Created at: April 10, 2026, 3:12 a.m.