Triple
T778744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nicaragua |
E16448
|
entity |
| Predicate | highestPoint |
P210
|
FINISHED |
| Object |
Mogotón
Mogotón is a mountain on the border between Nicaragua and Honduras that forms the highest peak in Nicaragua.
|
E93323
|
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: Mogotón | Statement: [Nicaragua, highestPoint, Mogotón]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mogotón Context triple: [Nicaragua, highestPoint, Mogotón]
-
A.
Momotombo
Momotombo is a prominent active stratovolcano in western Nicaragua, known for its symmetrical cone shape and historical eruptions overlooking Lake Managua.
-
B.
Madugandí
Madugandí is an indigenous comarca (autonomous territory) in Panama inhabited primarily by the Guna (Kuna) people.
-
C.
Cáqueza
Cáqueza is a small municipality and town in the Andean region of central Colombia, known for its rural landscapes and proximity to Bogotá in the department of Cundinamarca.
-
D.
Tobalaba
Tobalaba is a major Santiago Metro station in Chile that serves as an important transfer point between multiple lines in the city’s rapid transit network.
-
E.
Majadahonda
Majadahonda is a suburban municipality west of Madrid, Spain, known for its residential character, shopping centers, and sports facilities.
- 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: Mogotón Triple: [Nicaragua, highestPoint, Mogotón]
Generated description
Mogotón is a mountain on the border between Nicaragua and Honduras that forms the highest peak in Nicaragua.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mogotón Target entity description: Mogotón is a mountain on the border between Nicaragua and Honduras that forms the highest peak in Nicaragua.
-
A.
Momotombo
Momotombo is a prominent active stratovolcano in western Nicaragua, known for its symmetrical cone shape and historical eruptions overlooking Lake Managua.
-
B.
Madugandí
Madugandí is an indigenous comarca (autonomous territory) in Panama inhabited primarily by the Guna (Kuna) people.
-
C.
Cáqueza
Cáqueza is a small municipality and town in the Andean region of central Colombia, known for its rural landscapes and proximity to Bogotá in the department of Cundinamarca.
-
D.
Tobalaba
Tobalaba is a major Santiago Metro station in Chile that serves as an important transfer point between multiple lines in the city’s rapid transit network.
-
E.
Majadahonda
Majadahonda is a suburban municipality west of Madrid, Spain, known for its residential character, shopping centers, and sports facilities.
- 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_69a4936ad1fc81908f190208059ccf78 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a74f886081909c27b786e3adbe32 |
completed | March 1, 2026, 8:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a6733a21bc81909fa8f18cf8e0356a |
completed | March 3, 2026, 5:35 a.m. |
| NEDg | Description generation | batch_69a676dd01688190a75f606279630e3b |
completed | March 3, 2026, 5:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a677534eb88190bac864e663a900f1 |
completed | March 3, 2026, 5:53 a.m. |
Created at: March 1, 2026, 7:37 p.m.