Triple
T4542365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gunwharf Quays |
E107563
|
entity |
| Predicate | operator |
P179
|
FINISHED |
| Object | Landsec |
E212187
|
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: Landsec | Statement: [Gunwharf Quays, operator, Landsec]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Landsec Context triple: [Gunwharf Quays, operator, Landsec]
-
A.
Landsec
chosen
Landsec is one of the largest commercial property development and investment companies in the United Kingdom, known for owning and managing major retail and office destinations.
-
B.
Lendlease
Lendlease is a global real estate and infrastructure company headquartered in Australia, known for developing and managing large-scale urban regeneration and retail projects.
-
C.
M&G Real Estate
M&G Real Estate is a global real estate investment manager and part of M&G plc, overseeing a diverse portfolio of commercial and residential properties.
-
D.
Intu Properties
Intu Properties was a major British real estate investment trust specializing in owning and managing large shopping centres across the United Kingdom.
-
E.
Sellar Property Group
Sellar Property Group is a UK-based property development company best known for leading major London projects including the iconic skyscraper The Shard.
- 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_69bd43f922788190b7edfa294e39b178 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd57d3be988190bf118c4a87415613 |
completed | March 20, 2026, 2:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdc55ae8248190acda4f10eb5ce2e7 |
completed | March 20, 2026, 10:08 p.m. |
Created at: March 20, 2026, 1:04 p.m.