Triple
T5333066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Heart Shopping Centre |
E123355
|
entity |
| Predicate | nearby |
P350
|
FINISHED |
| Object | River Thames |
E5226
|
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: River Thames | Statement: [The Heart Shopping Centre, nearby, River Thames]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: River Thames Context triple: [The Heart Shopping Centre, nearby, River Thames]
-
A.
Thames
chosen
The Thames is a major river in southern England that flows through London and has long been central to the country’s history, commerce, and culture.
-
B.
Thames
Thames is a historic town on New Zealand’s North Island, known for its gold-mining heritage and position at the base of the Coromandel Peninsula.
-
C.
Thames River
The Thames River in Connecticut is a short tidal estuary in the southeastern part of the state that flows past cities like New London into Long Island Sound.
-
D.
Thames River
The Thames River is a Canadian river in southwestern Ontario that flows through communities such as Woodstock before emptying into Lake St. Clair.
-
E.
Severn
The Severn is the longest river in Great Britain, flowing through Wales and England before emptying into the Bristol Channel.
- 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_69bd46477f9081909d242a327d749466 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd85ac8e10819088b6a9e02d927044 |
completed | March 20, 2026, 5:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf186790248190bc94cfbecf3cfe73 |
completed | March 21, 2026, 10:15 p.m. |
Created at: March 20, 2026, 2 p.m.