Triple
T4891713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tarbes |
E109577
|
entity |
| Predicate | twinTown |
P1072
|
FINISHED |
| Object | Sabadell |
E254028
|
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: Sabadell | Statement: [Tarbes, twinTown, Sabadell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sabadell Context triple: [Tarbes, twinTown, Sabadell]
-
A.
Sabadell
chosen
Sabadell is a major industrial and commercial city in Catalonia, Spain, known historically for its textile industry and now as part of the Barcelona metropolitan area.
-
B.
Esplugues de Llobregat
Esplugues de Llobregat is a municipality in the metropolitan area of Barcelona, Catalonia, known for its residential character and proximity to the Catalan capital.
-
C.
Mataró
Mataró is a coastal city in northeastern Spain known as an important commercial and industrial center on the Mediterranean near Barcelona.
-
D.
Sant Feliu de Llobregat
Sant Feliu de Llobregat is a municipality in the Barcelona metropolitan area of Catalonia, Spain, known as a local administrative center and residential suburb of Barcelona.
-
E.
Sant Cugat del Vallès
Sant Cugat del Vallès is a town near Barcelona in Catalonia, Spain, known for its historic monastery, residential character, and role as an educational and business hub.
- 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_69bd440f71348190b99938e59fb7f9a1 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6e2444dc819088d5562e90d16d9b |
completed | March 20, 2026, 3:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be6fbf3e74819099910475bbd18734 |
completed | March 21, 2026, 10:15 a.m. |
Created at: March 20, 2026, 1:28 p.m.