Triple
T3635192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jarama River |
E77049
|
entity |
| Predicate | flowsNear |
P350
|
FINISHED |
| Object | Arganda del Rey |
E109331
|
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: Arganda del Rey | Statement: [Jarama River, flowsNear, Arganda del Rey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arganda del Rey Context triple: [Jarama River, flowsNear, Arganda del Rey]
-
A.
Arganda del Rey
chosen
Arganda del Rey is a municipality in central Spain known for its wine-making tradition and location within the metropolitan area of Madrid.
-
B.
Pozuelo de Alarcón
Pozuelo de Alarcón is an affluent suburban municipality west of Madrid, known for its high quality of life and residential character.
-
C.
Paracuellos de Jarama
Paracuellos de Jarama is a municipality near Madrid, Spain, known for its proximity to Madrid–Barajas Airport and its historical and military significance.
-
D.
Boadilla del Monte
Boadilla del Monte is a suburban municipality in the Community of Madrid, Spain, known for its residential areas, green spaces, and proximity to the Spanish capital.
-
E.
Fuenlabrada
Fuenlabrada is a large suburban city in central Spain, located southwest of Madrid and known for its rapid growth, industrial activity, and sizable commuter population.
- 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_69ad85dd0be48190b738990cb20c4731 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc325e2548190ae243ae69126e65c |
completed | March 8, 2026, 6:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b44f1ec2bc8190ae88a2010f84e998 |
completed | March 13, 2026, 5:53 p.m. |
Created at: March 8, 2026, 3:24 p.m.