Triple
T7432414
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | York city walls |
E171524
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Red Tower
Red Tower is a historic defensive tower incorporated into the medieval city walls of York, England.
|
E664281
|
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: Red Tower | Statement: [York city walls, hasPart, Red Tower]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Red Tower Context triple: [York city walls, hasPart, Red Tower]
-
A.
Red Tower
Red Tower is a historic medieval tower and landmark in the German city of Chemnitz.
-
B.
Tower of Glass
Tower of Glass is a 1970 science fiction novel by Robert Silverberg that explores themes of artificial intelligence, class hierarchy, and the ethics of creating sentient beings.
-
C.
City of Glass
City of Glass is a postmodern detective novel by Paul Auster that blends mystery, metafiction, and philosophical inquiry into identity and language.
-
D.
White Tower
The White Tower is a prominent Renaissance-era bell tower and landmark in the historic center of Hradec Králové in the Czech Republic.
-
E.
White Tower
The White Tower is a historic neo-Gothic tower and former imperial leisure pavilion located within the palace-and-park ensemble of Tsarskoye Selo near St. Petersburg, Russia.
- 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: Red Tower Triple: [York city walls, hasPart, Red Tower]
Generated description
Red Tower is a historic defensive tower incorporated into the medieval city walls of York, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Red Tower Target entity description: Red Tower is a historic defensive tower incorporated into the medieval city walls of York, England.
-
A.
Red Tower
Red Tower is a historic medieval tower and landmark in the German city of Chemnitz.
-
B.
Tower of Glass
Tower of Glass is a 1970 science fiction novel by Robert Silverberg that explores themes of artificial intelligence, class hierarchy, and the ethics of creating sentient beings.
-
C.
City of Glass
City of Glass is a postmodern detective novel by Paul Auster that blends mystery, metafiction, and philosophical inquiry into identity and language.
-
D.
White Tower
The White Tower is a prominent Renaissance-era bell tower and landmark in the historic center of Hradec Králové in the Czech Republic.
-
E.
White Tower
The White Tower is a historic neo-Gothic tower and former imperial leisure pavilion located within the palace-and-park ensemble of Tsarskoye Selo near St. Petersburg, Russia.
- 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.