Triple
T14577213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carchi Province |
E342084
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Espejo
Espejo is a canton in Ecuador’s Carchi Province, known for its highland Andean landscapes and agricultural communities.
|
E1106133
|
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: Espejo | Statement: [Carchi Province, hasSettlement, Espejo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Espejo Context triple: [Carchi Province, hasSettlement, Espejo]
-
A.
Lo Espejo
Lo Espejo is a commune and urban neighborhood in the southern part of Santiago, Chile, known for its working-class residential character and dense population.
-
B.
Mirrors
"Mirrors" is a 2013 pop and R&B ballad by Justin Timberlake, known for its reflective lyrics about lasting love and its expansive, multi-part production.
-
C.
Mirrors
"Mirrors" is a 2008 supernatural horror film starring Amy Smart and Kiefer Sutherland, centered on a haunted department store whose mirrors unleash deadly forces.
-
D.
Mirrors
"Mirrors" is a dark, synth-driven pop single by British singer-songwriter Natalia Kills that helped establish her edgy, cinematic musical persona.
-
E.
Mirrors
"Mirrors" is an EP by the British rock band Young Guns, showcasing their melodic, anthemic alternative rock sound.
- 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: Espejo Triple: [Carchi Province, hasSettlement, Espejo]
Generated description
Espejo is a canton in Ecuador’s Carchi Province, known for its highland Andean landscapes and agricultural communities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Espejo Target entity description: Espejo is a canton in Ecuador’s Carchi Province, known for its highland Andean landscapes and agricultural communities.
-
A.
Lo Espejo
Lo Espejo is a commune and urban neighborhood in the southern part of Santiago, Chile, known for its working-class residential character and dense population.
-
B.
Mirrors
"Mirrors" is a 2008 supernatural horror film starring Amy Smart and Kiefer Sutherland, centered on a haunted department store whose mirrors unleash deadly forces.
-
C.
Mirrors
"Mirrors" is a 2013 pop and R&B ballad by Justin Timberlake, known for its reflective lyrics about lasting love and its expansive, multi-part production.
-
D.
Mirrors
"Mirrors" is a dark, synth-driven pop single by British singer-songwriter Natalia Kills that helped establish her edgy, cinematic musical persona.
-
E.
Mirrors
"Mirrors" is an EP by the British rock band Young Guns, showcasing their melodic, anthemic alternative rock sound.
- 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_69d822dcc6248190bed689984bceb0e2 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb3f5ec448190b2ef887fdf7b633e |
completed | April 14, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd8ace7da48190880a736ead5c4055 |
completed | May 8, 2026, 7:03 a.m. |
| NEDg | Description generation | batch_69fd8bb3c1188190b158d30e9c962911 |
completed | May 8, 2026, 7:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd8c6e7d448190835f87e27c998623 |
completed | May 8, 2026, 7:10 a.m. |
Created at: April 10, 2026, 1:24 a.m.