Triple
T3612077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cannon Street |
E76510
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object | New Change |
E352870
|
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: New Change | Statement: [Cannon Street, connectsTo, New Change]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: New Change Context triple: [Cannon Street, connectsTo, New Change]
-
A.
One New Change
chosen
One New Change is a major modern retail and office complex in the City of London, known for its shopping centre and rooftop terrace with views of St Paul’s Cathedral.
-
B.
Changes
"Changes" is a track featured on the hip hop album *Universal Mind Control* by Common.
-
C.
Changes
"Changes" is a socially conscious hip-hop song by Tupac Shakur that reflects on racism, poverty, and systemic injustice in America.
-
D.
Changes
"Changes" is a reflective folk song by American singer-songwriter Phil Ochs, known for its poetic lyrics and gentle, introspective tone.
-
E.
Changes
Changes is a 2020 studio album by Canadian pop singer Justin Bieber that explores R&B-influenced sounds and themes of love and personal growth.
- 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_69ad85da0ba481908b3b48c69efe2b98 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc22e5b30819084184b730732c727 |
completed | March 8, 2026, 6:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b433136c94819099bc1d3846e54b07 |
completed | March 13, 2026, 3:53 p.m. |
Created at: March 8, 2026, 3:23 p.m.