Triple
T17882581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pateros, Washington |
E447123
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Pateros, Philippines |
—
|
NE NERFINISHED |
How this triple was built (3 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: Pateros, Philippines | Statement: [Pateros, Washington, namedAfter, Pateros, Philippines]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pateros, Philippines Context triple: [Pateros, Washington, namedAfter, Pateros, Philippines]
-
A.
Muntinlupa, Philippines
Muntinlupa is a highly urbanized city in Metro Manila, Philippines, known for housing the New Bilibid Prison and serving as a major residential and commercial hub in the southern part of the capital region.
-
B.
Olongapo, Philippines
Olongapo is a coastal city in the Philippines known for its history as the site of the former U.S. Subic Bay Naval Base and its role as a commercial and tourism hub in Central Luzon.
-
C.
Batangas, Philippines
Batangas, Philippines is a province in the Calabarzon region of Luzon known for its beaches, dive sites, heritage towns, and proximity to Taal Volcano.
-
D.
Binondo, Manila, Philippines
Binondo in Manila, Philippines is the city’s historic Chinatown district, renowned as one of the oldest Chinatowns in the world and a bustling center of commerce, culture, and cuisine.
-
E.
Los Baños, Laguna, Philippines
Los Baños, Laguna, Philippines is a university town and science hub on the island of Luzon known for its agricultural research institutions, hot springs, and proximity to Mount Makiling.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pateros, Philippines Target entity description: Pateros, Philippines is a small municipality in Metro Manila known for its production of balut (fertilized duck eggs) and traditional duck-raising industry.
-
A.
Muntinlupa, Philippines
Muntinlupa is a highly urbanized city in Metro Manila, Philippines, known for housing the New Bilibid Prison and serving as a major residential and commercial hub in the southern part of the capital region.
-
B.
Olongapo, Philippines
Olongapo is a coastal city in the Philippines known for its history as the site of the former U.S. Subic Bay Naval Base and its role as a commercial and tourism hub in Central Luzon.
-
C.
Batangas, Philippines
Batangas, Philippines is a province in the Calabarzon region of Luzon known for its beaches, dive sites, heritage towns, and proximity to Taal Volcano.
-
D.
Binondo, Manila, Philippines
Binondo in Manila, Philippines is the city’s historic Chinatown district, renowned as one of the oldest Chinatowns in the world and a bustling center of commerce, culture, and cuisine.
-
E.
Los Baños, Laguna, Philippines
Los Baños, Laguna, Philippines is a university town and science hub on the island of Luzon known for its agricultural research institutions, hot springs, and proximity to Mount Makiling.
- F. None of above. chosen
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_69d8b9f4c22c819093c2680434472894 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49c1016508190857adce1a0fbb355 |
completed | April 19, 2026, 9:10 a.m. |
Created at: April 10, 2026, 10:18 a.m.