Triple
T2136875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waterloo Bridge |
E46673
|
entity |
| Predicate | connects |
P390
|
FINISHED |
| Object | Strand |
E212177
|
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: Strand | Statement: [Waterloo Bridge, connects, Strand]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Strand Context triple: [Waterloo Bridge, connects, Strand]
-
A.
Strand
chosen
Strand is a major thoroughfare in central London known for its historic theatres, hotels, and proximity to key landmarks such as Trafalgar Square and the River Thames.
-
B.
Strandloper
Strandloper is a historical novel by Alan Garner that reimagines the life of a Cheshire laborer transported to Australia, blending myth, landscape, and identity.
-
C.
Tapestry
Tapestry is Carole King’s landmark 1971 singer-songwriter album, widely acclaimed for its intimate songwriting and enduring influence on pop and soft rock music.
-
D.
Weave
Weave is Google's Internet of Things (IoT) communication platform designed to let smart devices easily discover, connect, and work together across different ecosystems.
-
E.
The Cord
The Cord is the student-run newspaper serving the Wilfrid Laurier University community with campus news, commentary, and features.
- 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_69a88a174ab48190a5db20c132e5dccf |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abbdff9254819094d27405478e29a0 |
completed | March 7, 2026, 5:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae51af1e708190b63418da77776084 |
completed | March 9, 2026, 4:50 a.m. |
Created at: March 4, 2026, 7:44 p.m.