Triple
T22049419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queens Sports Club |
E544843
|
entity |
| Predicate | hasEndName |
P46465
|
FINISHED |
| Object | City End |
—
|
NE NERFINISHED |
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: City End | Statement: [Queens Sports Club, hasEndName, City End]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: City End Context triple: [Queens Sports Club, hasEndName, City End]
-
A.
City End
chosen
City End is one of the two named bowling ends at Edgbaston Cricket Ground in Birmingham, England.
-
B.
End City
End City is a rare, towering dungeon-like structure found in Minecraft's End dimension, known for its shulker enemies and valuable loot such as Elytra and enchanted gear.
-
C.
City East
City East is a central Adelaide campus of the University of South Australia, known for its focus on health, biomedical, and clinical education and research.
-
D.
CITY
CITY is the radio callsign used by KLM Cityhopper, the regional subsidiary of Dutch airline KLM.
-
E.
Metro City
Metro City is the fictional, superhero-populated metropolis that serves as the primary setting of the animated film "Megamind."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e32445c8190ab97089b48a130bb |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1283191e48190b4ddc84138243327 |
completed | April 28, 2026, 9:35 p.m. |
Created at: April 16, 2026, 8:26 p.m.