Triple
T13389442
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Escuintla Department |
E319536
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Tiquisate
Tiquisate is a town and municipality in southern Guatemala known for its agricultural production, particularly sugarcane and bananas.
|
E1038527
|
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: Tiquisate | Statement: [Escuintla Department, contains, Tiquisate]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tiquisate Context triple: [Escuintla Department, contains, Tiquisate]
-
A.
Grouard
Grouard is a French surname most notably borne by Serge Grouard, a French politician.
-
B.
Wahpekute
Wahpekute are a historical band of the Eastern Dakota (Sioux) people traditionally associated with regions of present-day Minnesota and surrounding areas.
-
C.
Gros Ventre
Gros Ventre refers to a Native American tribe of the Northern Plains, traditionally associated with areas of present-day Montana and Alberta and known for their nomadic buffalo-hunting culture.
-
D.
Naʼtche
Naʼtche is another name for the Natchez language, a now-extinct Native American language once spoken in the lower Mississippi Valley.
-
E.
Hattula
Hattula is a municipality in southern Finland known for its medieval stone church and lakeside landscapes.
- 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: Tiquisate Triple: [Escuintla Department, contains, Tiquisate]
Generated description
Tiquisate is a town and municipality in southern Guatemala known for its agricultural production, particularly sugarcane and bananas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tiquisate Target entity description: Tiquisate is a town and municipality in southern Guatemala known for its agricultural production, particularly sugarcane and bananas.
-
A.
Grouard
Grouard is a French surname most notably borne by Serge Grouard, a French politician.
-
B.
Wahpekute
Wahpekute are a historical band of the Eastern Dakota (Sioux) people traditionally associated with regions of present-day Minnesota and surrounding areas.
-
C.
Gros Ventre
Gros Ventre refers to a Native American tribe of the Northern Plains, traditionally associated with areas of present-day Montana and Alberta and known for their nomadic buffalo-hunting culture.
-
D.
Naʼtche
Naʼtche is another name for the Natchez language, a now-extinct Native American language once spoken in the lower Mississippi Valley.
-
E.
Hattula
Hattula is a municipality in southern Finland known for its medieval stone church and lakeside landscapes.
- 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_69d806b886bc8190b676e7768b8e01c5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dba0d543348190a9c1be509b015c0f |
completed | April 12, 2026, 1:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7306df34c81909f2ad5b753b7fb7f |
completed | May 3, 2026, 11:24 a.m. |
| NEDg | Description generation | batch_69f7320c075081909b377de7e6e2abd0 |
completed | May 3, 2026, 11:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f73285fd288190a023f20925fb5d5e |
completed | May 3, 2026, 11:33 a.m. |
Created at: April 9, 2026, 9:34 p.m.