Triple
T3353407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A59 road |
E70547
|
entity |
| Predicate | runsTo |
P2127
|
FINISHED |
| Object | York city centre |
E240897
|
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: York city centre | Statement: [A59 road, runsTo, York city centre]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: York city centre Context triple: [A59 road, runsTo, York city centre]
-
A.
York city centre
chosen
York city centre is the historic core of the city of York in North Yorkshire, England, known for its medieval walls, narrow streets, and landmarks such as York Minster.
-
B.
City Center
City Center is a historic performing arts venue in Midtown Manhattan, best known for its dance, theater, and music programming.
-
C.
Chelsea, Manhattan
Chelsea, Manhattan is a historic neighborhood on Manhattan’s West Side in New York City, known for its art galleries, diverse community, and mix of residential and commercial spaces.
-
D.
City Centre
City Centre is the central commercial and cultural district of Cambridge, known for its historic university buildings, shops, and public spaces.
-
E.
City Centre
City Centre is Mississauga’s primary downtown core, known for its high-density residential towers, major shopping complexes, and civic and cultural facilities.
- 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_69ad85a4ef7c8190a29e2bbd6fa454e4 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb23ec53881908a04c7f784fe8c43 |
completed | March 8, 2026, 5:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b32532ebd08190bf174d72fba89a75 |
completed | March 12, 2026, 8:42 p.m. |
Created at: March 8, 2026, 3:13 p.m.