Triple
T8708605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Tarqui |
E206715
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object |
Tarqui
Tarqui is a locality in southern Ecuador historically notable as the site of the 1829 Battle of Tarqui between Gran Colombia and Peru.
|
E753592
|
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: Tarqui | Statement: [Battle of Tarqui, location, Tarqui]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tarqui Context triple: [Battle of Tarqui, location, Tarqui]
-
A.
Burque
Burque is a colloquial nickname commonly used to refer to the city of Albuquerque, New Mexico.
-
B.
Baquero
Baquero is a Spanish surname most notably associated with actress Ivana Baquero, known for her role in the film "Pan's Labyrinth."
-
C.
Páez
Páez is a Spanish-language surname most notably associated with Venezuelan independence leader and former president José Antonio Páez.
-
D.
Cusi Huarcay
Cusi Huarcay was an Inca noblewoman and princess of the royal lineage, known primarily as the wife of the Neo-Inca ruler Sayri Túpac during the Spanish conquest of Peru.
-
E.
Mateo Pumacahua
Mateo Pumacahua was an indigenous Peruvian military leader who played a key role in early 19th-century uprisings against Spanish colonial rule during the struggle for independence.
- 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: Tarqui Triple: [Battle of Tarqui, location, Tarqui]
Generated description
Tarqui is a locality in southern Ecuador historically notable as the site of the 1829 Battle of Tarqui between Gran Colombia and Peru.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tarqui Target entity description: Tarqui is a locality in southern Ecuador historically notable as the site of the 1829 Battle of Tarqui between Gran Colombia and Peru.
-
A.
Burque
Burque is a colloquial nickname commonly used to refer to the city of Albuquerque, New Mexico.
-
B.
Baquero
Baquero is a Spanish surname most notably associated with actress Ivana Baquero, known for her role in the film "Pan's Labyrinth."
-
C.
Páez
Páez is a Spanish-language surname most notably associated with Venezuelan independence leader and former president José Antonio Páez.
-
D.
Cusi Huarcay
Cusi Huarcay was an Inca noblewoman and princess of the royal lineage, known primarily as the wife of the Neo-Inca ruler Sayri Túpac during the Spanish conquest of Peru.
-
E.
Mateo Pumacahua
Mateo Pumacahua was an indigenous Peruvian military leader who played a key role in early 19th-century uprisings against Spanish colonial rule during the struggle for independence.
- 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_69ca835645e881908f00e3c8b51da81d |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc58ffa6a481908866b6239d1d9b92 |
completed | March 31, 2026, 11:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf28b78e90819098ab1d4877ab88fe |
completed | April 3, 2026, 2:40 a.m. |
| NEDg | Description generation | batch_69cf2bd14c3c8190b43840ee57cca22c |
completed | April 3, 2026, 2:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf2cb3c4308190971fb3d25064f205 |
completed | April 3, 2026, 2:57 a.m. |
Created at: March 30, 2026, 6:35 p.m.