Triple
T14503585
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pangasinan |
E340205
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Agno
Agno is a coastal municipality in the province of Pangasinan in the Philippines, known for its beaches, rock formations, and fishing communities.
|
E1103007
|
NE FINISHED |
How this triple was built (4 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: Agno | Statement: [Pangasinan, hasMunicipality, Agno]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Agno Context triple: [Pangasinan, hasMunicipality, Agno]
-
A.
Agno
Agno is a small Swiss town in the canton of Ticino, known for its lakeside location, regional airport, and proximity to Lugano.
-
B.
Eusa
Eusa is the Breton name for Ushant, an island off the western tip of Brittany in France known for its rugged coastline and maritime heritage.
-
C.
Leipoa
Leipoa is a bird genus in the megapode family best known for including the Australian malleefowl, a ground-dwelling species that incubates its eggs in large mounds of decomposing vegetation.
-
D.
Goria
Goria is an Italian surname most notably associated with Giovanni Goria, a former Prime Minister of Italy.
-
E.
Agulu
Agulu is a town in southeastern Nigeria known for its large natural lake and location within Anambra State.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Agno Triple: [Pangasinan, hasMunicipality, Agno]
Generated description
Agno is a coastal municipality in the province of Pangasinan in the Philippines, known for its beaches, rock formations, and fishing communities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Agno Target entity description: Agno is a coastal municipality in the province of Pangasinan in the Philippines, known for its beaches, rock formations, and fishing communities.
-
A.
Agno
Agno is a small Swiss town in the canton of Ticino, known for its lakeside location, regional airport, and proximity to Lugano.
-
B.
Eusa
Eusa is the Breton name for Ushant, an island off the western tip of Brittany in France known for its rugged coastline and maritime heritage.
-
C.
Leipoa
Leipoa is a bird genus in the megapode family best known for including the Australian malleefowl, a ground-dwelling species that incubates its eggs in large mounds of decomposing vegetation.
-
D.
Goria
Goria is an Italian surname most notably associated with Giovanni Goria, a former Prime Minister of Italy.
-
E.
Agulu
Agulu is a town in southeastern Nigeria known for its large natural lake and location within Anambra State.
- F. None of above. chosen
Provenance (5 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_69d822d9c0408190b9a2b3643e58bb4d |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69de94e0f9048190a2d266cfa4f9dfb6 |
completed | April 14, 2026, 7:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6d9dba1081909154362b922a2417 |
completed | May 8, 2026, 4:59 a.m. |
| NEDg | Description generation | batch_69fd6f24431c81908a25ad81c28da56d |
completed | May 8, 2026, 5:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd6ff5a58881909987fa653e58a197 |
completed | May 8, 2026, 5:09 a.m. |
Created at: April 10, 2026, 1:21 a.m.