Triple
T17827496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huamalíes Province |
E445157
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Tantamayo
Tantamayo is a small Andean town in Peru known for its nearby pre-Inca archaeological sites and highland agricultural traditions.
|
E1292191
|
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: Tantamayo | Statement: [Huamalíes Province, hasSettlement, Tantamayo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tantamayo Context triple: [Huamalíes Province, hasSettlement, Tantamayo]
-
A.
Aguayo
Aguayo is a Spanish surname historically associated with nobility and colonial administration in New Spain.
-
B.
Cayastá
Cayastá is a small town in Argentina’s Santa Fe Province known for its proximity to the historic Santa Fe La Vieja archaeological site, which preserves the remains of one of the region’s earliest Spanish settlements.
-
C.
Pacasmayo
Pacasmayo is a coastal city in northern Peru known for its long pier, surfing beaches, and colonial-era architecture.
-
D.
Cojitambo
Cojitambo is an ancient highland archaeological complex in Ecuador notable for its Cañari and later Inca ceremonial and military structures.
-
E.
Tumbalá
Tumbalá is a municipality in the Mexican state of Chiapas, known for its lush jungle landscapes and proximity to popular natural attractions.
- 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: Tantamayo Triple: [Huamalíes Province, hasSettlement, Tantamayo]
Generated description
Tantamayo is a small Andean town in Peru known for its nearby pre-Inca archaeological sites and highland agricultural traditions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tantamayo Target entity description: Tantamayo is a small Andean town in Peru known for its nearby pre-Inca archaeological sites and highland agricultural traditions.
-
A.
Aguayo
Aguayo is a Spanish surname historically associated with nobility and colonial administration in New Spain.
-
B.
Cayastá
Cayastá is a small town in Argentina’s Santa Fe Province known for its proximity to the historic Santa Fe La Vieja archaeological site, which preserves the remains of one of the region’s earliest Spanish settlements.
-
C.
Pacasmayo
Pacasmayo is a coastal city in northern Peru known for its long pier, surfing beaches, and colonial-era architecture.
-
D.
Cojitambo
Cojitambo is an ancient highland archaeological complex in Ecuador notable for its Cañari and later Inca ceremonial and military structures.
-
E.
Tumbalá
Tumbalá is a municipality in the Mexican state of Chiapas, known for its lush jungle landscapes and proximity to popular natural attractions.
- 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_69d8b9f1a6d881909f024bc603111cdb |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48915d0fc819080ab03feb2465834 |
completed | April 19, 2026, 7:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a030c58d9408190b0fdfe3a446c833f |
completed | May 12, 2026, 11:17 a.m. |
| NEDg | Description generation | batch_6a030d738f94819087105783689935f0 |
completed | May 12, 2026, 11:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a030e300bd881908480e68413c5d1c4 |
completed | May 12, 2026, 11:25 a.m. |
Created at: April 10, 2026, 10:15 a.m.