Triple
T16601178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | El Retiro Park |
E403331
|
entity |
| Predicate | hasView |
P854
|
FINISHED |
| Object | Madrid skyline |
E521220
|
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: Madrid skyline | Statement: [El Retiro Park, hasView, Madrid skyline]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Madrid skyline Context triple: [El Retiro Park, hasView, Madrid skyline]
-
A.
Madrid skyline
chosen
The Madrid skyline is the distinctive urban panorama of Spain’s capital, marked by historic landmarks and modern high-rises such as the Four Towers Business Area.
-
B.
Cantoblanco, Madrid
Cantoblanco, Madrid is a northern district of Madrid known primarily as the site of the Autonomous University of Madrid’s main campus and associated research and residential facilities.
-
C.
Madrid financial district
The Madrid financial district is the city’s main business hub, characterized by its modern skyscrapers, corporate headquarters, and major financial institutions.
-
D.
Madrid
Madrid is a coastal municipality in the Philippine province of Surigao del Sur on the island of Mindanao.
-
E.
Madrid
Madrid is the capital and largest city of Spain, renowned for its rich cultural heritage, historic architecture, and vibrant arts and nightlife scenes.
- 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_69d883880d0c81908b5fcd454e767b60 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e35d764574819081366374ca0c9bea |
completed | April 18, 2026, 10:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0075a48c088190b6585e42dcd73705 |
completed | May 10, 2026, 12:10 p.m. |
Created at: April 10, 2026, 5:17 a.m.