Triple
T16412533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alta Verapaz Department |
E398600
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Lanquín
Lanquín is a rural municipality in Guatemala known for its lush karst landscapes and proximity to the popular natural attraction Semuc Champey.
|
E1216973
|
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: Lanquín | Statement: [Alta Verapaz Department, hasMunicipality, Lanquín]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lanquín Context triple: [Alta Verapaz Department, hasMunicipality, Lanquín]
-
A.
Atuntaqui
Atuntaqui is a small city in northern Ecuador known for its textile industry and Andean cultural traditions.
-
B.
Huancané
Huancané is a town in southern Peru that serves as an administrative and commercial center in the Puno region near Lake Titicaca.
-
C.
Chicamán
Chicamán is a rural municipality in Guatemala known for its mountainous terrain, indigenous Maya communities, and traditional agricultural economy.
-
D.
Chiquilá
Chiquilá is a small coastal village in Quintana Roo, Mexico, best known as the main ferry departure point to the popular island destination of Isla Holbox.
-
E.
Hualañé
Hualañé is a rural Chilean town and commune in the Maule Region, known for its agricultural activities and location near the Mataquito River.
- 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: Lanquín Triple: [Alta Verapaz Department, hasMunicipality, Lanquín]
Generated description
Lanquín is a rural municipality in Guatemala known for its lush karst landscapes and proximity to the popular natural attraction Semuc Champey.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lanquín Target entity description: Lanquín is a rural municipality in Guatemala known for its lush karst landscapes and proximity to the popular natural attraction Semuc Champey.
-
A.
Atuntaqui
Atuntaqui is a small city in northern Ecuador known for its textile industry and Andean cultural traditions.
-
B.
Huancané
Huancané is a town in southern Peru that serves as an administrative and commercial center in the Puno region near Lake Titicaca.
-
C.
Chicamán
Chicamán is a rural municipality in Guatemala known for its mountainous terrain, indigenous Maya communities, and traditional agricultural economy.
-
D.
Chiquilá
Chiquilá is a small coastal village in Quintana Roo, Mexico, best known as the main ferry departure point to the popular island destination of Isla Holbox.
-
E.
Hualañé
Hualañé is a rural Chilean town and commune in the Maule Region, known for its agricultural activities and location near the Mataquito River.
- 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_69d87f2950248190bc8ad9b9bebdc8c8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32875bad08190bc3e2218df8c1b07 |
completed | April 18, 2026, 6:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00581245108190842cfd68ec640236 |
completed | May 10, 2026, 10:04 a.m. |
| NEDg | Description generation | batch_6a0059126e588190b531c145f3c155b4 |
completed | May 10, 2026, 10:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0059b5a1f8819089caefc121246739 |
completed | May 10, 2026, 10:11 a.m. |
Created at: April 10, 2026, 5:09 a.m.