Triple
T3105844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agen |
E64826
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Toledo (Spain) |
E203762
|
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: Toledo (Spain) | Statement: [Agen, hasTwinTown, Toledo (Spain)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toledo (Spain) Context triple: [Agen, hasTwinTown, Toledo (Spain)]
-
A.
Toledo, Spain
chosen
Toledo, Spain is a historic Spanish city renowned for its medieval architecture, rich cultural heritage, and role as a setting in literature and art.
-
B.
Oviedo
Oviedo is the historic capital city of Spain’s Asturias region, known for its well-preserved medieval old town, pre-Romanesque churches, and role as a cultural and administrative center in northern Spain.
-
C.
Valladolid
Valladolid is a historic city in northwestern Spain that served as a major political and cultural center, including as a former capital of the Spanish monarchy.
-
D.
Burgos
Burgos is a historic city in northern Spain known for its medieval architecture and its prominent role during the Spanish Civil War.
-
E.
Salamanca
Salamanca is an industrial city in central Mexico known for its major oil refinery and role in the country's petrochemical sector.
- 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_69ad857eeaf48190b34ebfdaa7a264cf |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada29beff08190b6e1eb6b0608d0eb |
completed | March 8, 2026, 4:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b20388b7788190b78b9dd2671214ad |
completed | March 12, 2026, 12:06 a.m. |
Created at: March 8, 2026, 3:03 p.m.