Triple
T11909262
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tower Hill |
E283350
|
entity |
| Predicate | replacedStation |
P20874
|
FINISHED |
| Object | Mark Lane |
E657124
|
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: Mark Lane | Statement: [Tower Hill, replacedStation, Mark Lane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark Lane Context triple: [Tower Hill, replacedStation, Mark Lane]
-
A.
Mark Lane
chosen
Mark Lane is a street in the City of London, historically associated with the grain trade and located near Fenchurch Street and the Tower of London.
-
B.
Martin Lane
Martin Lane is a central father figure and newspaper editor on the 1960s American sitcom "The Patty Duke Show."
-
C.
Richard Lane
Richard Lane was a co-founder of the British publishing house Penguin Books, which became famous for pioneering affordable, high-quality paperback editions.
-
D.
Patrick Lane
Patrick Lane was a Canadian poet and novelist renowned for his powerful, often dark explorations of nature, memory, and personal struggle.
-
E.
Gerry Lane
Gerry Lane is the resourceful former United Nations investigator who serves as the main protagonist battling a global zombie pandemic in the film "World War Z."
- 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_69d6ab2c07e88190ba13b0d21fd6cf33 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8e5278eb081909a7ecfe38beeeda9 |
completed | April 10, 2026, 11:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f418543258819083b49a5bbdc520cd |
completed | May 1, 2026, 3:04 a.m. |
Created at: April 8, 2026, 9:44 p.m.