Triple
T15279936
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Júcar River |
E365241
|
entity |
| Predicate | flowsThroughCity |
P10456
|
FINISHED |
| Object | Alzira |
E362882
|
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: Alzira | Statement: [Júcar River, flowsThroughCity, Alzira]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alzira Context triple: [Júcar River, flowsThroughCity, Alzira]
-
A.
Alzira
chosen
Alzira is a historic town and municipality in eastern Spain known for its agricultural heritage and location along the Júcar River in the Valencian Community.
-
B.
Vacqueyras
Vacqueyras is a renowned southern Rhône wine appellation in France known for its robust red wines primarily based on Grenache, Syrah, and Mourvèdre.
-
C.
Lebrija
Lebrija is a historic town and municipality in southern Spain’s Andalusia region, known for its agricultural economy and traditional flamenco culture.
-
D.
Cullera
Cullera is a coastal town in eastern Spain known for its Mediterranean beaches, historic castle, and location at the mouth of the Júcar River.
-
E.
Águeda
Águeda is a Portuguese city in the Aveiro District, known for its colorful umbrella-filled streets and as a local commercial and cultural center in the Vouga River valley.
- 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_69d85a103d9081908c1ea6c4c73ac8e3 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00e504d8c8190ad6c565a31d1a9bd |
completed | April 15, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3d3cf84c8190a4655803b12c9721 |
completed | May 9, 2026, 1:57 p.m. |
Created at: April 10, 2026, 3:15 a.m.