Triple
T4069659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Petén Department |
E86613
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Poptún
Poptún is a town and municipality in northern Guatemala known for its rural setting, Mayan cultural heritage, and role as a local commercial center in the Petén region.
|
E411193
|
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: Poptún | Statement: [Petén Department, contains, Poptún]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Poptún Context triple: [Petén Department, contains, Poptún]
-
A.
El Popo
El Popo is the colloquial name for Popocatépetl, one of Mexico’s most active and iconic volcanoes located near Mexico City.
-
B.
Cajeme
Cajeme is a major municipality and agricultural and industrial center in the southern part of the Mexican state of Sonora, best known for its main city Ciudad Obregón.
-
C.
Lali
Lali is the official mascot character created for the 2017 World Aquatics Championships held in Budapest.
-
D.
Tejipió
Tejipió is a neighborhood in the city of Recife, Brazil, known as part of the urban fabric of the state capital of Pernambuco.
-
E.
Huachipato
Huachipato is a Chilean professional football club based in Talcahuano, known for competing in the country’s top division and for its strong steel-industry roots.
- 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: Poptún Triple: [Petén Department, contains, Poptún]
Generated description
Poptún is a town and municipality in northern Guatemala known for its rural setting, Mayan cultural heritage, and role as a local commercial center in the Petén region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Poptún Target entity description: Poptún is a town and municipality in northern Guatemala known for its rural setting, Mayan cultural heritage, and role as a local commercial center in the Petén region.
-
A.
El Popo
El Popo is the colloquial name for Popocatépetl, one of Mexico’s most active and iconic volcanoes located near Mexico City.
-
B.
Cajeme
Cajeme is a major municipality and agricultural and industrial center in the southern part of the Mexican state of Sonora, best known for its main city Ciudad Obregón.
-
C.
Lali
Lali is the official mascot character created for the 2017 World Aquatics Championships held in Budapest.
-
D.
Tejipió
Tejipió is a neighborhood in the city of Recife, Brazil, known as part of the urban fabric of the state capital of Pernambuco.
-
E.
Huachipato
Huachipato is a Chilean professional football club based in Talcahuano, known for competing in the country’s top division and for its strong steel-industry roots.
- 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_69aed93ebe448190a1f1686e28740ac9 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefbfa45c88190b7b13b35de816378 |
completed | March 9, 2026, 4:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b562b6eb708190a7f60192d8df9a27 |
completed | March 14, 2026, 1:29 p.m. |
| NEDg | Description generation | batch_69b5668984988190bb4239df9e283142 |
completed | March 14, 2026, 1:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b566ea87f88190ad03e548de53553f |
completed | March 14, 2026, 1:47 p.m. |
Created at: March 9, 2026, 3:38 p.m.