Triple
T11403293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Azuay Province |
E270169
|
entity |
| Predicate | hasImportantTown |
P14082
|
FINISHED |
| Object |
Chordeleg
Chordeleg is a small Ecuadorian town renowned for its traditional gold and silver filigree jewelry and skilled artisan craftsmanship.
|
E923845
|
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: Chordeleg | Statement: [Azuay Province, hasImportantTown, Chordeleg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chordeleg Context triple: [Azuay Province, hasImportantTown, Chordeleg]
-
A.
Oteiza
Oteiza is a Basque surname most notably associated with the Spanish sculptor and artist Jorge Oteiza.
-
B.
Goaria
Goaria is a regional dialect of the Rajasthani language spoken by specific communities in parts of Rajasthan, India.
-
C.
Salcedo
Salcedo is a coastal municipality in the province of Eastern Samar in the Philippines, known for its fishing communities and rural landscapes.
-
D.
Lacedelli
Lacedelli is an Italian surname most notably associated with Lino Lacedelli, one of the first climbers to reach the summit of K2.
-
E.
Trauco
Trauco is a fearsome dwarf-like creature from Chilote mythology, known for its irresistible sexual power and for being blamed for unexpected pregnancies.
- 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: Chordeleg Triple: [Azuay Province, hasImportantTown, Chordeleg]
Generated description
Chordeleg is a small Ecuadorian town renowned for its traditional gold and silver filigree jewelry and skilled artisan craftsmanship.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chordeleg Target entity description: Chordeleg is a small Ecuadorian town renowned for its traditional gold and silver filigree jewelry and skilled artisan craftsmanship.
-
A.
Oteiza
Oteiza is a Basque surname most notably associated with the Spanish sculptor and artist Jorge Oteiza.
-
B.
Goaria
Goaria is a regional dialect of the Rajasthani language spoken by specific communities in parts of Rajasthan, India.
-
C.
Salcedo
Salcedo is a coastal municipality in the province of Eastern Samar in the Philippines, known for its fishing communities and rural landscapes.
-
D.
Lacedelli
Lacedelli is an Italian surname most notably associated with Lino Lacedelli, one of the first climbers to reach the summit of K2.
-
E.
Trauco
Trauco is a fearsome dwarf-like creature from Chilote mythology, known for its irresistible sexual power and for being blamed for unexpected pregnancies.
- 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_69d6aaddeaa8819088b30ef7b50598c9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8014ab46881909fa1d425926c617b |
completed | April 9, 2026, 7:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e58d244870819091e8331eb3bd792d |
completed | April 20, 2026, 2:19 a.m. |
| NEDg | Description generation | batch_69e59777b1208190a33a50da286535ee |
completed | April 20, 2026, 3:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e5a3cf9d388190944340af484b3a54 |
completed | April 20, 2026, 3:55 a.m. |
Created at: April 8, 2026, 9:34 p.m.