Triple
T15338061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Newmarket Racecourse |
E366718
|
entity |
| Predicate | hasGrandstand |
P6313
|
FINISHED |
| Object | July Course grandstand |
E989082
|
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: July Course grandstand | Statement: [Newmarket Racecourse, hasGrandstand, July Course grandstand]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: July Course grandstand Context triple: [Newmarket Racecourse, hasGrandstand, July Course grandstand]
-
A.
July Course
chosen
July Course is a prominent British horse racing venue located at Newmarket, renowned for hosting major flat racing events during the summer season.
-
B.
July
July is the seventh month of the year, typically associated with mid-summer in the Northern Hemisphere and named after Julius Caesar.
-
C.
JUL
JUL is the IATA airport code for Inca Manco Cápac International Airport, which serves the city of Juliaca in southeastern Peru near Lake Titicaca.
-
D.
Juni
Juni is a bilingual producer known for creating content across multiple languages.
-
E.
Juli
Juli is a given name, typically used as a shortened or variant form of names like Julia or Julian in various languages.
- 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_69d85a1355608190a6673ddb67231d54 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e11b22c81908280efe65acd5454 |
completed | April 16, 2026, 1:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff01f2ee9c819080fce24ed13a07c7 |
completed | May 9, 2026, 9:44 a.m. |
Created at: April 10, 2026, 3:17 a.m.