Triple
T2264219
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Negros Oriental |
E50107
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
San Jose
San Jose is a coastal municipality in the Philippine province of Negros Oriental known for its rural communities and proximity to Dumaguete City.
|
E396802
|
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 Jose | Statement: [Negros Oriental, hasMunicipality, San Jose]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: San Jose Context triple: [Negros Oriental, hasMunicipality, San Jose]
-
A.
San Jose
San Jose is a major technology and innovation hub in Silicon Valley and one of the largest cities in Northern California.
-
B.
San Jose
San Jose is the main town on the island of Tinian in the Northern Mariana Islands, serving as its administrative and population center.
-
C.
San Mateo
San Mateo is a city in California’s San Francisco Bay Area, known for its suburban neighborhoods, parks, and role as a commercial and residential hub on the Peninsula.
-
D.
San José
San José is the capital and largest city of Costa Rica, known for its political, economic, and cultural significance in Central America.
-
E.
San José
San José is a small municipality and town located in the Caldas Department of Colombia, known for its coffee-growing rural landscape in the Andean region.
- 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 Jose Triple: [Negros Oriental, hasMunicipality, San Jose]
Generated description
San Jose is a coastal municipality in the Philippine province of Negros Oriental known for its rural communities and proximity to Dumaguete City.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: San Jose Target entity description: San Jose is a coastal municipality in the Philippine province of Negros Oriental known for its rural communities and proximity to Dumaguete City.
-
A.
San Jose
San Jose is a major technology and innovation hub in Silicon Valley and one of the largest cities in Northern California.
-
B.
San Jose
San Jose is the main town on the island of Tinian in the Northern Mariana Islands, serving as its administrative and population center.
-
C.
San Mateo
San Mateo is a city in California’s San Francisco Bay Area, known for its suburban neighborhoods, parks, and role as a commercial and residential hub on the Peninsula.
-
D.
San José
San José is the capital and largest city of Costa Rica, known for its political, economic, and cultural significance in Central America.
-
E.
San José
San José is a small municipality and town located in the Caldas Department of Colombia, known for its coffee-growing rural landscape in the Andean region.
- 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_69a88b01e0048190ba96431b5f990ba9 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc18d7fc08190851765683d1b8092 |
completed | March 7, 2026, 6:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b51c512b108190b08245662695b8ca |
completed | March 14, 2026, 8:29 a.m. |
| NEDg | Description generation | batch_69b51cd116d08190beeb1cd8e9d05468 |
completed | March 14, 2026, 8:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b51d865f20819095418bd080ce2bb4 |
completed | March 14, 2026, 8:34 a.m. |
Created at: March 4, 2026, 7:48 p.m.