Triple
T17097291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tarma |
E414880
|
entity |
| Predicate | connectedTo |
P37
|
FINISHED |
| Object | Oxapampa |
E434017
|
NE FINISHED |
How this triple was built (2 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: Oxapampa | Statement: [Tarma, connectedTo, Oxapampa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oxapampa Context triple: [Tarma, connectedTo, Oxapampa]
-
A.
Oxapampa
chosen
Oxapampa is a town in central Peru known for its German-Austrian immigrant heritage, dairy farming, and lush cloud-forest surroundings in the Andean foothills.
-
B.
Pucallpa
Pucallpa is a major city in eastern Peru, located in the Amazon rainforest along the Ucayali River and serving as an important regional commercial and transportation hub.
-
C.
Vilcashuamán
Vilcashuamán is a historic Andean town in Peru known for its well-preserved Inca archaeological complex, including temples, terraces, and ceremonial structures.
-
D.
Talara
Talara is a coastal city in northwestern Peru known for its important oil industry and nearby Pacific beaches.
-
E.
Huacaypata
Huacaypata was the main ceremonial and administrative square of the Inca capital Cusco, serving as a central stage for religious rituals, military parades, and imperial celebrations.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d886cfc8e88190b05ba466edd35591 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbfe92988190aa066745ca9791d5 |
completed | April 18, 2026, 7:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012eedfd7c8190b267dedd403f5f2b |
completed | May 11, 2026, 1:20 a.m. |
Created at: April 10, 2026, 5:35 a.m.