Triple
T16024633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sololá Department |
E388687
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Sololá |
E391112
|
NE FINISHED |
How this triple was built (2 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: Sololá | Statement: [Sololá Department, hasCity, Sololá]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sololá Context triple: [Sololá Department, hasCity, Sololá]
-
A.
Sololá
chosen
Sololá is a town in the western highlands of Guatemala, known for its indigenous Kaqchikel and Tz'utujil communities and its proximity to Lake Atitlán.
-
B.
Guamúchil
Guamúchil is a city in the Mexican state of Sinaloa known as a regional commercial and agricultural center.
-
C.
Jalapa
Jalapa is the capital city of the Mexican state of Veracruz, known for its cool, misty climate, cultural institutions, and surrounding coffee-growing region.
-
D.
Galipán
Galipán is a small mountain village in Venezuela known for its cool climate, flower and strawberry production, and scenic views over Caracas and the Caribbean coast.
-
E.
Atzacan
Atzacan is a municipality in the Mexican state of Veracruz that forms part of the greater Orizaba metropolitan region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d86dada3808190825d5f80d72fbe88 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e183258c708190acf1588c7ccb254c |
completed | April 17, 2026, 12:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffdbcfd39c81909bfddfe95f9ad7d2 |
completed | May 10, 2026, 1:13 a.m. |
Created at: April 10, 2026, 4:55 a.m.