Triple
T3829502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huánuco Region |
E88774
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Tingo María
Tingo María is a city in central Peru known as the gateway to the Amazon and for its surrounding rainforest landscapes and national park.
|
E390198
|
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: Tingo María | Statement: [Huánuco Region, contains, Tingo María]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tingo María Context triple: [Huánuco Region, contains, Tingo María]
-
A.
Burque
Burque is a colloquial nickname commonly used to refer to the city of Albuquerque, New Mexico.
-
B.
Simón
Simón is the given name of Simón Bolívar, the famed Latin American military and political leader who played a key role in the independence of several South American countries from Spanish rule.
-
C.
Raimundo
Raimundo is a masculine given name of Spanish and Portuguese origin, related to the name Ramón and ultimately derived from the Germanic name Raymond.
-
D.
Juan Cailles
Juan Cailles was a Filipino military leader and later politician known for his prominent role in the Philippine Revolution and the Philippine–American War.
-
E.
Pérez de Guzmán
Pérez de Guzmán is a prominent Spanish noble family name historically associated with the powerful Dukes of Medina Sidonia.
- 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: Tingo María Triple: [Huánuco Region, contains, Tingo María]
Generated description
Tingo María is a city in central Peru known as the gateway to the Amazon and for its surrounding rainforest landscapes and national park.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tingo María Target entity description: Tingo María is a city in central Peru known as the gateway to the Amazon and for its surrounding rainforest landscapes and national park.
-
A.
Burque
Burque is a colloquial nickname commonly used to refer to the city of Albuquerque, New Mexico.
-
B.
Simón
Simón is the given name of Simón Bolívar, the famed Latin American military and political leader who played a key role in the independence of several South American countries from Spanish rule.
-
C.
Raimundo
Raimundo is a masculine given name of Spanish and Portuguese origin, related to the name Ramón and ultimately derived from the Germanic name Raymond.
-
D.
Juan Cailles
Juan Cailles was a Filipino military leader and later politician known for his prominent role in the Philippine Revolution and the Philippine–American War.
-
E.
Pérez de Guzmán
Pérez de Guzmán is a prominent Spanish noble family name historically associated with the powerful Dukes of Medina Sidonia.
- 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_69aed9538cf881909d9ce8ca4ac7c18c |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeeb8459f881908a2c91bb07e381ef |
completed | March 9, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4fb54636c8190a46224e0a8215e26 |
completed | March 14, 2026, 6:08 a.m. |
| NEDg | Description generation | batch_69b4fc1d144881908affcdae84a3c395 |
completed | March 14, 2026, 6:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4fc942b588190985b191376289258 |
completed | March 14, 2026, 6:13 a.m. |
Created at: March 9, 2026, 3:17 p.m.