Triple
T17807367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dame Street |
E444601
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object | College Green |
—
|
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: College Green | Statement: [Dame Street, connectsTo, College Green]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: College Green Context triple: [Dame Street, connectsTo, College Green]
-
A.
College Green
chosen
College Green is a historic public square in central Dublin, Ireland, known as a civic and commercial hub surrounded by landmark buildings including Trinity College Dublin.
-
B.
College Green
College Green is a historic open space in Westminster, London, commonly used as a backdrop for political interviews and media broadcasts near the UK Parliament.
-
C.
College Green
College Green is a prominent public open space and gathering area in central Bristol, England, known for its lawns, civic events, and proximity to key landmarks like Bristol Cathedral and City Hall.
-
D.
College
College is the former name of College Station, a city in Texas best known as the home of Texas A&M University.
-
E.
College Holiday
College Holiday is a 1936 American musical comedy film featuring Gracie Allen in a prominent comedic role.
- 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_69d8b9efe370819095cd219b143ae727 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e488779a3081908405eac4930a095f |
completed | April 19, 2026, 7:47 a.m. |
Created at: April 10, 2026, 10:14 a.m.