Triple
T7432471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | York city walls |
E171524
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Tower Ninety
Tower Ninety is one of the numbered defensive towers incorporated into the historic medieval city walls of York, England.
|
E691563
|
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 Ninety | Statement: [York city walls, hasPart, Tower Ninety]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tower Ninety Context triple: [York city walls, hasPart, Tower Ninety]
-
A.
Tower Eighty-nine
Tower Eighty-nine is one of the numbered defensive towers incorporated into the historic medieval city walls of York, England.
-
B.
Tower Seventy-nine
Tower Seventy-nine is one of the numbered defensive towers incorporated into the historic medieval city walls of York, England.
-
C.
Tower Fifty-nine
Tower Fifty-nine is one of the defensive towers incorporated into the historic medieval city walls of York, England.
-
D.
Tower Forty-nine
Tower Forty-nine is one of the numbered defensive towers incorporated into the historic medieval city walls of York, England.
-
E.
Tower Eighty-one
Tower Eighty-one is one of the numbered defensive towers incorporated into the historic medieval city walls of York, England.
- 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 Ninety Triple: [York city walls, hasPart, Tower Ninety]
Generated description
Tower Ninety is one of the numbered 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 Ninety Target entity description: Tower Ninety is one of the numbered defensive towers incorporated into the historic medieval city walls of York, England.
-
A.
Tower Eighty-nine
Tower Eighty-nine is one of the numbered defensive towers incorporated into the historic medieval city walls of York, England.
-
B.
Tower Seventy-nine
Tower Seventy-nine is one of the numbered defensive towers incorporated into the historic medieval city walls of York, England.
-
C.
Tower Fifty-nine
Tower Fifty-nine is one of the defensive towers incorporated into the historic medieval city walls of York, England.
-
D.
Tower Forty-nine
Tower Forty-nine is one of the numbered defensive towers incorporated into the historic medieval city walls of York, England.
-
E.
Tower Eighty-one
Tower Eighty-one is one of the numbered defensive towers incorporated into the historic medieval city walls of York, England.
- 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_69c98f54f0908190afec4f26e96d8173 |
completed | March 29, 2026, 8:45 p.m. |
| NEDg | Description generation | batch_69c990477ec881909ba48e92ec8ef64f |
completed | March 29, 2026, 8:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c9909f9fac81909a15f09cbb654524 |
completed | March 29, 2026, 8:50 p.m. |
Created at: March 27, 2026, 3:12 p.m.