Triple
T11248123
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morazán Department |
E266259
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | San Francisco Gotera |
E914089
|
NE FINISHED |
How this triple was built (2 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 Francisco Gotera | Statement: [Morazán Department, containsSettlement, San Francisco Gotera]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: San Francisco Gotera Context triple: [Morazán Department, containsSettlement, San Francisco Gotera]
-
A.
San Francisco Gotera
chosen
San Francisco Gotera is a small city in northeastern El Salvador known as an administrative and commercial center in the Morazán region.
-
B.
Val Ferrera
Val Ferrera is a remote alpine valley in southeastern Switzerland known for its rugged mountain scenery and traditional villages.
-
C.
San Francisco Javier
San Francisco Javier is a 16th-century Spanish Jesuit missionary and Catholic saint renowned for his extensive evangelizing work in Asia, particularly in India and Japan.
-
D.
Gus Molino
Gus Molino is the protagonist of the film "Sugar Hill," around whom the story’s central conflicts and developments revolve.
-
E.
Rich Garcia
Rich Garcia is a former Major League Baseball umpire best known for working numerous postseason games, including serving as a crew chief in the 1990s.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aac7953c8190b82caf9d7640fdf9 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e91d1484819098ee6b2efb5316a5 |
completed | April 9, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4f3eca6bc8190bc0640353a505ad5 |
completed | April 19, 2026, 3:25 p.m. |
Created at: April 8, 2026, 9:31 p.m.