Triple
T10694309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Offenburg |
E252092
|
entity |
| Predicate | twinTown |
P1072
|
FINISHED |
| Object | Alajuela |
E321025
|
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: Alajuela | Statement: [Offenburg, twinTown, Alajuela]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alajuela Context triple: [Offenburg, twinTown, Alajuela]
-
A.
Alajuelita
Alajuelita is a canton and urban community in Costa Rica known for its proximity to the capital, San José, and its prominent hilltop Christ the Redeemer statue overlooking the Central Valley.
-
B.
Alajuela Province
chosen
Alajuela Province is a region in north-central Costa Rica known for its agricultural production, volcanic landscapes, and popular ecotourism destinations.
-
C.
San José, Costa Rica
San José, Costa Rica is the capital and largest city of Costa Rica, serving as the country’s political, economic, and cultural center.
-
D.
San José canton
San José canton is the central administrative division that includes Costa Rica’s capital city, San José, and several surrounding districts.
-
E.
San José de las Lajas
San José de las Lajas is a Cuban city that serves as the capital of Mayabeque Province and an important agricultural and industrial center near Havana.
- 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_69d6aa5bd7c08190a816e733b4045c23 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fd39c3788190bb7cd0acf8b6efdd |
completed | April 9, 2026, 1:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d998cfeb748190bfff06534d83cf97 |
completed | April 11, 2026, 12:41 a.m. |
Created at: April 8, 2026, 9:11 p.m.