Triple
T17929348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huaytará Province |
E448286
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object |
Huaytará
Huaytará is a town in the Huancavelica Region of Peru known as an administrative and commercial center in the Andean highlands.
|
E1296491
|
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: Huaytará | Statement: [Huaytará Province, capital, Huaytará]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Huaytará Context triple: [Huaytará Province, capital, Huaytará]
-
A.
Huancané
Huancané is a town in southern Peru that serves as an administrative and commercial center in the Puno region near Lake Titicaca.
-
B.
Huambisa
Huambisa is an indigenous Jivaroan language spoken by the Huambisa people of the northern Peruvian Amazon.
-
C.
Huenchula
Huenchula is a figure from Chilote mythology, often depicted as a supernatural or magical being associated with the folklore of Chile’s Chiloé Archipelago.
-
D.
Huara
Huara is a small town and commune in northern Chile’s Tarapacá Region, known for its desert landscape and location along the historic route to the Atacama Desert.
-
E.
Chajul
Chajul is a predominantly indigenous Maya Ixil municipality in Guatemala known for its traditional culture, mountainous highland setting, and history marked by the country’s civil conflict.
- 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: Huaytará Triple: [Huaytará Province, capital, Huaytará]
Generated description
Huaytará is a town in the Huancavelica Region of Peru known as an administrative and commercial center in the Andean highlands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Huaytará Target entity description: Huaytará is a town in the Huancavelica Region of Peru known as an administrative and commercial center in the Andean highlands.
-
A.
Huancané
Huancané is a town in southern Peru that serves as an administrative and commercial center in the Puno region near Lake Titicaca.
-
B.
Huambisa
Huambisa is an indigenous Jivaroan language spoken by the Huambisa people of the northern Peruvian Amazon.
-
C.
Huenchula
Huenchula is a figure from Chilote mythology, often depicted as a supernatural or magical being associated with the folklore of Chile’s Chiloé Archipelago.
-
D.
Huara
Huara is a small town and commune in northern Chile’s Tarapacá Region, known for its desert landscape and location along the historic route to the Atacama Desert.
-
E.
Chajul
Chajul is a predominantly indigenous Maya Ixil municipality in Guatemala known for its traditional culture, mountainous highland setting, and history marked by the country’s civil conflict.
- 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_69d8b9f79d14819095540856928f0e25 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4a5511a408190973cf5fa1f286a26 |
completed | April 19, 2026, 9:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0321381d0081908955e50cc80aeed2 |
completed | May 12, 2026, 12:46 p.m. |
| NEDg | Description generation | batch_6a032290b0bc8190a2494a721f52a81a |
completed | May 12, 2026, 12:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a032307ae8481908902068e60848db3 |
completed | May 12, 2026, 12:54 p.m. |
Created at: April 10, 2026, 10:20 a.m.