Triple
T16905385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huaraz |
E424546
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Anta District
Anta District is an administrative district in the Ancash Region of Peru, known for its Andean highland landscapes and proximity to the city of Huaraz.
|
E1254883
|
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: Anta District | Statement: [Huaraz, locatedNear, Anta District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anta District Context triple: [Huaraz, locatedNear, Anta District]
-
A.
Anta District
Anta District is an administrative district in southern Peru, located within the Cusco Region and serving as part of Anta Province.
-
B.
Govuro District
Govuro District is an administrative district located in Inhambane Province in southern Mozambique.
-
C.
Yanta District
Yanta District is an urban district of Xi'an in Shaanxi Province, China, known for its cultural and historical landmarks and educational institutions.
-
D.
Kajaki District
Kajaki District is an administrative district in northern Helmand Province, Afghanistan, known for the Kajaki Dam and its strategic significance in the region.
-
E.
Kaifu District
Kaifu District is an urban administrative district of Changsha, the capital city of Hunan Province in south-central China.
- 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: Anta District Triple: [Huaraz, locatedNear, Anta District]
Generated description
Anta District is an administrative district in the Ancash Region of Peru, known for its Andean highland landscapes and proximity to the city of Huaraz.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Anta District Target entity description: Anta District is an administrative district in the Ancash Region of Peru, known for its Andean highland landscapes and proximity to the city of Huaraz.
-
A.
Anta District
Anta District is an administrative district in southern Peru, located within the Cusco Region and serving as part of Anta Province.
-
B.
Govuro District
Govuro District is an administrative district located in Inhambane Province in southern Mozambique.
-
C.
Yanta District
Yanta District is an urban district of Xi'an in Shaanxi Province, China, known for its cultural and historical landmarks and educational institutions.
-
D.
Kajaki District
Kajaki District is an administrative district in northern Helmand Province, Afghanistan, known for the Kajaki Dam and its strategic significance in the region.
-
E.
Kaifu District
Kaifu District is an urban administrative district of Changsha, the capital city of Hunan Province in south-central China.
- 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_69d889da3e8c8190a2b118f383f0beac |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3c8df454c8190898ebdd75985e51c |
completed | April 18, 2026, 6:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0148201f7c8190a964723ca7ef2b68 |
completed | May 11, 2026, 3:08 a.m. |
| NEDg | Description generation | batch_6a014c12b35c8190ab9ab9d069cd72c4 |
completed | May 11, 2026, 3:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a014c989de88190bc9abb013c740e0a |
completed | May 11, 2026, 3:27 a.m. |
Created at: April 10, 2026, 5:30 a.m.