Triple
T15260293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Market Rasen Racecourse |
E364755
|
entity |
| Predicate | nearestTown |
P350
|
FINISHED |
| Object | Market Rasen |
E408003
|
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: Market Rasen | Statement: [Market Rasen Racecourse, nearestTown, Market Rasen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Market Rasen Context triple: [Market Rasen Racecourse, nearestTown, Market Rasen]
-
A.
Market Rasen
chosen
Market Rasen is a small market town in Lincolnshire, England, best known for its historic town center and prominent National Hunt racecourse.
-
B.
The Market
The Market is a popular nickname for Seattle’s historic Pike Place Market, a bustling public marketplace famous for its fresh seafood, local produce, and vibrant artisan stalls.
-
C.
Omicho Market
Omicho Market is a historic and bustling fresh food market in Kanazawa, Japan, renowned for its seafood, local produce, and traditional atmosphere.
-
D.
Karato Market
Karato Market is a famous seaside fish and seafood market in Shimonoseki, Japan, known for its fresh catch and on-the-spot sushi.
-
E.
Market Place
Market Place is a central public square and traditional commercial hub in the town of Burslem, Stoke-on-Trent, England.
- 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_69d85a0f08408190b3c3259ae35d79d2 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0084e85a08190b8e63598b9f6a535 |
completed | April 15, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feef6def4c8190b6aed1f68d336c5a |
completed | May 9, 2026, 8:25 a.m. |
Created at: April 10, 2026, 3:14 a.m.