Triple
T13534760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wards of the City of London |
E323231
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object | Tower |
E484647
|
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: Tower | Statement: [Wards of the City of London, hasSubdivision, Tower]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tower Context triple: [Wards of the City of London, hasSubdivision, Tower]
-
A.
Tower
chosen
Tower is a key riverside area in central London, best known for landmarks like the Tower of London and Tower Bridge and serving as a major stop on Thames river transport routes.
-
B.
Tower
Tower is a surname of English origin borne by various notable individuals, including American politician John Tower.
-
C.
Symbol Tower
Symbol Tower is a prominent high-rise landmark and observation tower located in Takamatsu, Japan.
-
D.
Edifice
Edifice is a line of Casio wristwatches known for their sporty, sophisticated designs and advanced chronograph and technology features.
-
E.
Earth Tower
Earth Tower is a hotel tower at the Mohegan Sun casino resort in Connecticut, offering additional guest accommodations and amenities.
- 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_69d8076776248190bdf0d4fa1f85a5fc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafbcad2881909fb7490311807f75 |
completed | April 12, 2026, 2:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75d980cac8190a7f7fda56abda361 |
completed | May 3, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:44 p.m.