Triple
T1910181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miracle Mile district |
E38089
|
entity |
| Predicate | hasFeature |
P182
|
FINISHED |
| Object | museum row |
E188947
|
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: museum row | Statement: [Miracle Mile district, hasFeature, museum row]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: museum row Context triple: [Miracle Mile district, hasFeature, museum row]
-
A.
Museum Row
chosen
Museum Row is a prominent stretch of cultural institutions and museums in Los Angeles, known for its dense concentration of major art, history, and science museums.
-
B.
Museum Mile
Museum Mile is a renowned stretch of New York City's Fifth Avenue famous for its dense concentration of major art and cultural museums.
-
C.
Museum Mile
Museum Mile is a prominent cultural district in Bonn, Germany, known for its dense concentration of major museums and art institutions.
-
D.
Museum Square
Museum Square is a large public square in Amsterdam known for housing major museums such as the Rijksmuseum, Van Gogh Museum, and Stedelijk Museum, as well as being a central cultural and recreational hub.
-
E.
March Museum
March Museum is a local history museum in the town of March, Cambridgeshire, showcasing the area’s social, industrial, and cultural heritage.
- 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_69a8862a26088190aae5243695aeefc0 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb1b7095c8190ad7e472aada30d3d |
completed | March 7, 2026, 5:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adeaffbc2c81908303548fac82ff52 |
completed | March 8, 2026, 9:32 p.m. |
Created at: March 4, 2026, 7:35 p.m.