Triple
T14572664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand Central Parkway |
E341957
|
entity |
| Predicate | runsThrough |
P416
|
FINISHED |
| Object | Corona |
E269140
|
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: Corona | Statement: [Grand Central Parkway, runsThrough, Corona]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Corona Context triple: [Grand Central Parkway, runsThrough, Corona]
-
A.
Corona
chosen
Corona is a diverse neighborhood in the borough of Queens, New York City, known for its vibrant Latino community and proximity to Flushing Meadows–Corona Park.
-
B.
Corona
Corona is a globally popular Mexican beer brand produced by Grupo Modelo and widely associated with sports sponsorships and beach-themed marketing.
-
C.
Corona
Corona is an Italian Eurodance music group best known for their 1993 international hit single "The Rhythm of the Night."
-
D.
Corona
Corona is a city in Riverside County, California, known for its suburban communities, proximity to major Southern California freeways, and role as a regional commercial and residential hub.
-
E.
Coron
Coron is a popular island municipality in the Philippines renowned for its dramatic limestone cliffs, crystal-clear lagoons, and world-class wreck diving sites.
- 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_69d822dcc6248190bed689984bceb0e2 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb3f33b1c8190bb447788bfd28d51 |
completed | April 14, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd8aca591081908db149ec517a999b |
completed | May 8, 2026, 7:03 a.m. |
Created at: April 10, 2026, 1:24 a.m.