Triple
T20041285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liria |
E497424
|
entity |
| Predicate | hasNameInSpanish |
P12773
|
FINISHED |
| Object | Liria |
—
|
NE NERFINISHED |
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: Liria | Statement: [Liria, hasNameInSpanish, Liria]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Liria Context triple: [Liria, hasNameInSpanish, Liria]
-
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.
Fuenla
Fuenla is the popular nickname of CF Fuenlabrada, a Spanish football club based in the city of Fuenlabrada in the Community of Madrid.
-
C.
Merania
Merania was a medieval duchy on the Adriatic coast, historically associated with the House of Andechs and various European noble lineages.
-
D.
Alcaës
Alcaës is a figure from Greek mythology, likely a minor or variant character associated with the mythological traditions surrounding Lysidice.
-
E.
Laviana
Laviana is a municipality in the Asturias region of northern Spain, situated in the Nalón River valley and known for its mining heritage and mountainous surroundings.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da627278c88190babe4297a9df1236 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e662eb9a6081909d06dc1d457b4d5a |
completed | April 20, 2026, 5:31 p.m. |
Created at: April 11, 2026, 3:37 p.m.