Triple
T3138291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northern Samar |
E65583
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
San Vicente
San Vicente is a coastal municipality in the Philippine province of Northern Samar known for its island communities and fishing-based local economy.
|
E333968
|
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: San Vicente | Statement: [Northern Samar, hasMunicipality, San Vicente]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: San Vicente Context triple: [Northern Samar, hasMunicipality, San Vicente]
-
A.
Santa Lucía
Santa Lucía is a town and canton in coastal Ecuador known for its agricultural activities within the Guayas Province.
-
B.
Comerío
Comerío is a mountainous municipality in central Puerto Rico known for its scenic landscapes, coffee cultivation, and traditional festivals.
-
C.
San Nicolas
San Nicolas is a town in Aruba known for its significant Afro-Aruban community and cultural influence.
-
D.
San Nicolas
San Nicolas is a historic riverside district of Manila, Philippines, known for its old commercial houses, narrow streets, and proximity to the walled city of Intramuros.
-
E.
San Miguel
San Miguel is an active stratovolcano in eastern El Salvador, known for its frequent eruptions and prominent conical shape within the Central American volcanic chain.
- 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: San Vicente Triple: [Northern Samar, hasMunicipality, San Vicente]
Generated description
San Vicente is a coastal municipality in the Philippine province of Northern Samar known for its island communities and fishing-based local economy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: San Vicente Target entity description: San Vicente is a coastal municipality in the Philippine province of Northern Samar known for its island communities and fishing-based local economy.
-
A.
Santa Lucía
Santa Lucía is a town and canton in coastal Ecuador known for its agricultural activities within the Guayas Province.
-
B.
Comerío
Comerío is a mountainous municipality in central Puerto Rico known for its scenic landscapes, coffee cultivation, and traditional festivals.
-
C.
San Nicolas
San Nicolas is a historic riverside district of Manila, Philippines, known for its old commercial houses, narrow streets, and proximity to the walled city of Intramuros.
-
D.
San Nicolas
San Nicolas is a town in Aruba known for its significant Afro-Aruban community and cultural influence.
-
E.
San Miguel
San Miguel is an active stratovolcano in eastern El Salvador, known for its frequent eruptions and prominent conical shape within the Central American volcanic chain.
- 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_69ad8581c25c8190b0d85ba9b9baa531 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada574509c81908a88bb10ea35516d |
completed | March 8, 2026, 4:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b235b2aa388190ae9dc569b951206d |
completed | March 12, 2026, 3:40 a.m. |
| NEDg | Description generation | batch_69b2372a54a481908a4a954b8986aad7 |
completed | March 12, 2026, 3:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b23806a3c8819096069982b3612730 |
completed | March 12, 2026, 3:50 a.m. |
Created at: March 8, 2026, 3:05 p.m.