Triple
T5147336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duke of Liria and Jérica |
E116103
|
entity |
| Predicate | associatedTerritory |
P1103
|
FINISHED |
| Object | Llíria |
E497424
|
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: Llíria | Statement: [Duke of Liria and Jérica, associatedTerritory, Llíria]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Llíria Context triple: [Duke of Liria and Jérica, associatedTerritory, Llíria]
-
A.
Liria
chosen
Liria is a historic town in the Valencian Community of Spain, known for its ancient Iberian and Roman heritage and its role as a noble title’s namesake.
-
B.
Gironella
Gironella is a small municipality in Catalonia, Spain, known for its historic textile industry and location along the Llobregat River.
-
C.
Anoia
Anoia is a comarca (county) in central Catalonia, Spain, known for its mix of industrial towns and rural landscapes, with Igualada as its capital.
-
D.
Alajeró
Alajeró is a small coastal and rural municipality on the island of La Gomera in Spain’s Canary Islands, known for its rugged landscapes and traditional Canarian character.
-
E.
Risca
Risca is a town in south Wales situated in the county borough of Caerphilly, near Newport, with a history rooted in coal mining and industry.
- 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_69bd4446c0e08190a7c29dc74976bf03 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd78afc32081909fd4de3dbf31ea3a |
completed | March 20, 2026, 4:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bed920e650819097d8b74fe8b8966a |
completed | March 21, 2026, 5:45 p.m. |
Created at: March 20, 2026, 1:43 p.m.