Triple
T7432419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | York city walls |
E171524
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Tower Two
Tower Two is one of the defensive towers incorporated into the historic medieval city walls of York, England.
|
E664284
|
NE FINISHED |
How this triple was built (4 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 Two | Statement: [York city walls, hasPart, Tower Two]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tower Two Context triple: [York city walls, hasPart, Tower Two]
-
A.
Tower 2
Tower 2 is one of the twin Petronas Towers in Kuala Lumpur, Malaysia, notable for housing the main public observation deck overlooking the city.
-
B.
Trade Tower
Trade Tower is a prominent commercial skyscraper located in the Diamond Exchange District, known for housing offices and businesses linked to the local diamond and trade industries.
-
C.
West Tower
West Tower is the prominent western bell and clock tower of Ely Cathedral, notable for its imposing Gothic architecture and role as a key landmark of the historic church.
-
D.
West Tower
West Tower is a prominent residential skyscraper within the Deansgate Square complex in Manchester, England.
-
E.
Main Tower
Main Tower is a prominent modern skyscraper in Frankfurt am Main, Germany, known for its public observation deck offering panoramic views of the city.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Tower Two Triple: [York city walls, hasPart, Tower Two]
Generated description
Tower Two is one of the defensive towers incorporated into the historic medieval city walls of York, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tower Two Target entity description: Tower Two is one of the defensive towers incorporated into the historic medieval city walls of York, England.
-
A.
Tower 2
Tower 2 is one of the twin Petronas Towers in Kuala Lumpur, Malaysia, notable for housing the main public observation deck overlooking the city.
-
B.
Trade Tower
Trade Tower is a prominent commercial skyscraper located in the Diamond Exchange District, known for housing offices and businesses linked to the local diamond and trade industries.
-
C.
West Tower
West Tower is the prominent western bell and clock tower of Ely Cathedral, notable for its imposing Gothic architecture and role as a key landmark of the historic church.
-
D.
West Tower
West Tower is a prominent residential skyscraper within the Deansgate Square complex in Manchester, England.
-
E.
Main Tower
Main Tower is a prominent modern skyscraper in Frankfurt am Main, Germany, known for its public observation deck offering panoramic views of the city.
- F. None of above. chosen
Provenance (5 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_69c68a63491881909281f73d4d5643bf |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f325ea908190b668fd4ce646f1e6 |
completed | March 27, 2026, 9:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c81f187f5081909d171835278c035c |
completed | March 28, 2026, 6:34 p.m. |
| NEDg | Description generation | batch_69c8230a58008190ad10d012f4070435 |
completed | March 28, 2026, 6:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c823ec05288190aa3c0b812ce1662f |
completed | March 28, 2026, 6:54 p.m. |
Created at: March 27, 2026, 3:12 p.m.