Triple
T17704918
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Longaví |
E441404
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object |
San Fabián
San Fabián is a rural commune and town in Chile’s Ñuble Region, known for its mountainous landscapes and outdoor recreation opportunities.
|
E1283819
|
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 Fabián | Statement: [Longaví, borderedBy, San Fabián]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: San Fabián Context triple: [Longaví, borderedBy, San Fabián]
-
A.
San Fabian
San Fabian is a coastal municipality in the province of Pangasinan, Philippines, known for its beaches along the Lingayen Gulf.
-
B.
Saint Fermín
Saint Fermín is a Catholic saint and martyr traditionally venerated as the first bishop of Pamplona and the patron saint of the famous running of the bulls festival held in his honor in Spain.
-
C.
Atanacio
Atanacio is the Spanish given name of Hall of Fame Cuban-American baseball player Tony Pérez.
-
D.
San Gerardo
San Gerardo is a small municipality in eastern El Salvador known for its rural character and location within the San Miguel Department.
-
E.
San Bartolomé
San Bartolomé is a central inland town and municipality on the Spanish island of Lanzarote in the Canary Islands, known for its traditional architecture and agricultural landscape.
- 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 Fabián Triple: [Longaví, borderedBy, San Fabián]
Generated description
San Fabián is a rural commune and town in Chile’s Ñuble Region, known for its mountainous landscapes and outdoor recreation opportunities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: San Fabián Target entity description: San Fabián is a rural commune and town in Chile’s Ñuble Region, known for its mountainous landscapes and outdoor recreation opportunities.
-
A.
San Fabian
San Fabian is a coastal municipality in the province of Pangasinan, Philippines, known for its beaches along the Lingayen Gulf.
-
B.
Saint Fermín
Saint Fermín is a Catholic saint and martyr traditionally venerated as the first bishop of Pamplona and the patron saint of the famous running of the bulls festival held in his honor in Spain.
-
C.
Atanacio
Atanacio is the Spanish given name of Hall of Fame Cuban-American baseball player Tony Pérez.
-
D.
San Gerardo
San Gerardo is a small municipality in eastern El Salvador known for its rural character and location within the San Miguel Department.
-
E.
San Bartolomé
San Bartolomé is a central inland town and municipality on the Spanish island of Lanzarote in the Canary Islands, known for its traditional architecture and agricultural landscape.
- 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_69d8b9ea20b48190ace88bb46b01e6a9 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47296770c8190b6b172fb647da564 |
completed | April 19, 2026, 6:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a023022e50881908a617d2f80e00956 |
completed | May 11, 2026, 7:38 p.m. |
| NEDg | Description generation | batch_6a0231b6005c8190a1d7aa10a61fa7b9 |
completed | May 11, 2026, 7:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a023228e064819095b1d73d0fd2c3c2 |
completed | May 11, 2026, 7:46 p.m. |
Created at: April 10, 2026, 10:05 a.m.