Triple
T13203816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Lagan waterfront |
E314306
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Queen’s Quay |
E314305
|
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: Queen’s Quay | Statement: [River Lagan waterfront, hasPart, Queen’s Quay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Queen’s Quay Context triple: [River Lagan waterfront, hasPart, Queen’s Quay]
-
A.
Queen’s Quay area
chosen
The Queen’s Quay area is a redeveloped waterfront district in Belfast city centre featuring modern mixed-use spaces along the River Lagan.
-
B.
Passerelle des Deux Rives
Passerelle des Deux Rives is a pedestrian and cyclist bridge spanning the Rhine River, symbolically linking the cities of Strasbourg in France and Kehl in Germany.
-
C.
Queens Quay
Queens Quay is a prominent waterfront street and promenade along Toronto’s harbourfront, known for its mix of residential, commercial, and recreational spaces.
-
D.
Esplanade
Esplanade is a major performing arts centre in Singapore known for its distinctive durian-shaped domes and diverse cultural programming.
-
E.
Esplanade
Esplanade is a district of Strasbourg, France, known for its residential areas, university facilities, and proximity to the city center.
- 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_69d806aee7308190b70a237ba2a6e3e1 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c9961a48190a1157df47f59b7af |
completed | April 10, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6f60cf610819098d0c45989e3f9cf |
completed | May 3, 2026, 7:15 a.m. |
Created at: April 9, 2026, 9:17 p.m.