Triple
T21658822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Olancho Department |
E534539
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Silca
Silca is a rural municipality located in the Olancho Department of eastern Honduras, known for its agricultural economy and mountainous terrain.
|
E1496077
|
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: Silca | Statement: [Olancho Department, hasMunicipality, Silca]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Silca Context triple: [Olancho Department, hasMunicipality, Silca]
-
A.
Siligo
Siligo is a small municipality in the Logudoro region of northern Sardinia, Italy, known for its rural landscape and traditional Sardinian culture.
-
B.
Silandro
Silandro is a small town in South Tyrol, northern Italy, known as an administrative and cultural center of the Val Venosta region.
-
C.
Silay
Silay is a heritage-rich city in the Philippine province of Negros Occidental, known for its well-preserved ancestral houses and cultural history.
-
D.
Sulien
Sulien is a Welsh saint traditionally venerated as a local holy figure associated with churches in Wales.
-
E.
Sikma
Sikma is a surname most notably associated with Jack Sikma, a Hall of Fame American basketball player known for his successful NBA career with the Seattle SuperSonics.
- 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: Silca Triple: [Olancho Department, hasMunicipality, Silca]
Generated description
Silca is a rural municipality located in the Olancho Department of eastern Honduras, known for its agricultural economy and mountainous terrain.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Silca Target entity description: Silca is a rural municipality located in the Olancho Department of eastern Honduras, known for its agricultural economy and mountainous terrain.
-
A.
Siligo
Siligo is a small municipality in the Logudoro region of northern Sardinia, Italy, known for its rural landscape and traditional Sardinian culture.
-
B.
Silandro
Silandro is a small town in South Tyrol, northern Italy, known as an administrative and cultural center of the Val Venosta region.
-
C.
Silay
Silay is a heritage-rich city in the Philippine province of Negros Occidental, known for its well-preserved ancestral houses and cultural history.
-
D.
Sulien
Sulien is a Welsh saint traditionally venerated as a local holy figure associated with churches in Wales.
-
E.
Sikma
Sikma is a surname most notably associated with Jack Sikma, a Hall of Fame American basketball player known for his successful NBA career with the Seattle SuperSonics.
- 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_69e0c467e1f48190af2650b19175abc4 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef6c05a8d881909f747635bdb4ef09 |
completed | April 27, 2026, 2 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a159a54708190ab9477dbcf1bfb2a |
completed | May 17, 2026, 7:23 p.m. |
| NEDg | Description generation | batch_6a0a17c8879881909f810d965ef41061 |
completed | May 17, 2026, 7:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a1855a75c8190bd810d94637df913 |
completed | May 17, 2026, 7:34 p.m. |
Created at: April 16, 2026, 6:36 p.m.