Triple
T8606772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Midland Hotel, Morecambe |
E203817
|
entity |
| Predicate | owner |
P347
|
FINISHED |
| Object | Urban Splash |
E183494
|
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: Urban Splash | Statement: [Midland Hotel, Morecambe, owner, Urban Splash]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Urban Splash Context triple: [Midland Hotel, Morecambe, owner, Urban Splash]
-
A.
Urban Splash
chosen
Urban Splash is a British property development company known for its innovative, design-led regeneration of urban areas and historic buildings.
-
B.
Urban Jungle
Urban Jungle is a San Diego Zoo exhibit area featuring close-up encounters with giraffes and other savanna animals in an immersive, city-themed setting.
-
C.
Urban Light
Urban Light is a large-scale outdoor installation by artist Chris Burden composed of restored vintage street lamps, prominently displayed at the entrance of the Los Angeles County Museum of Art.
-
D.
City Loop
City Loop is Melbourne’s central underground railway system that circulates suburban trains through key inner-city stations.
-
E.
City Life
City Life is a mural artwork, likely depicting scenes of urban living and the energy of city environments.
- 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_69ca832c23e4819095a9f3eea4a21828 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc46eabe2c8190a2d13c353055a785 |
completed | March 31, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cea909757c819095dd38644c21af33 |
completed | April 2, 2026, 5:36 p.m. |
Created at: March 30, 2026, 6:25 p.m.