Triple
T5448327
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Tower of London |
E122304
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | The Tower |
E122304
|
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: The Tower | Statement: [The Tower of London, alsoKnownAs, The Tower]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Tower Context triple: [The Tower of London, alsoKnownAs, The Tower]
-
A.
The Tower
chosen
The Tower is the famous historic castle complex on the north bank of the River Thames in London, renowned for its role as a royal palace, prison, and fortress.
-
B.
The Tower
The Tower is a 1928 poetry collection by W.B. Yeats that reflects his mature style, blending Irish myth, personal reflection, and meditations on aging and artistic legacy.
-
C.
The Tower
The Tower is a film featuring Russian actress Svetlana Khodchenkova in a prominent role.
-
D.
Nieuwe Toren
Nieuwe Toren is a historic clock and bell tower in the Dutch city of Kampen, known as a prominent landmark in its old town skyline.
-
E.
Post Tower
Post Tower is a prominent high-rise office building in Bonn, Germany, serving as the headquarters of Deutsche Post DHL Group and standing as one of the city's most recognizable modern landmarks.
- 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_69bd4640f52c81909e653ec361f66d76 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd91dbfd948190977513cf274af417 |
completed | March 20, 2026, 6:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf4137ecf881908f3f036457b59281 |
completed | March 22, 2026, 1:09 a.m. |
Created at: March 20, 2026, 2:07 p.m.