Triple
T4115841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chester Castle |
E90288
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Agricola Tower
Agricola Tower is a historic medieval tower that forms part of the Chester Castle complex in Chester, England.
|
E412346
|
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: Agricola Tower | Statement: [Chester Castle, hasPart, Agricola Tower]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Agricola Tower Context triple: [Chester Castle, hasPart, Agricola Tower]
-
A.
Blockhaus
Blockhaus is a notoriously steep and decisive mountain in Italy’s Apennines, frequently used as a summit finish that shapes the general classification in the Giro d’Italia.
-
B.
Kale Fortress
Kale Fortress is a historic hilltop stronghold overlooking Skopje, North Macedonia, known for its medieval walls and panoramic views of the city.
-
C.
Iron Palace
Iron Palace (Palacio de Hierro) is a prominent Mexican chain of upscale department stores known for its luxury brands and high-end shopping experience.
-
D.
Hausberg
Hausberg is a popular ski mountain and recreational area near Garmisch-Partenkirchen in the Bavarian Alps.
-
E.
Citadella
Citadella is a 19th-century fortress and popular panoramic lookout situated atop Gellért Hill in Budapest, Hungary.
- 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: Agricola Tower Triple: [Chester Castle, hasPart, Agricola Tower]
Generated description
Agricola Tower is a historic medieval tower that forms part of the Chester Castle complex in Chester, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Agricola Tower Target entity description: Agricola Tower is a historic medieval tower that forms part of the Chester Castle complex in Chester, England.
-
A.
Blockhaus
Blockhaus is a notoriously steep and decisive mountain in Italy’s Apennines, frequently used as a summit finish that shapes the general classification in the Giro d’Italia.
-
B.
Kale Fortress
Kale Fortress is a historic hilltop stronghold overlooking Skopje, North Macedonia, known for its medieval walls and panoramic views of the city.
-
C.
Iron Palace
Iron Palace (Palacio de Hierro) is a prominent Mexican chain of upscale department stores known for its luxury brands and high-end shopping experience.
-
D.
Hausberg
Hausberg is a popular ski mountain and recreational area near Garmisch-Partenkirchen in the Bavarian Alps.
-
E.
Citadella
Citadella is a 19th-century fortress and popular panoramic lookout situated atop Gellért Hill in Budapest, Hungary.
- 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_69aed95c080881908125e30c5dcdc6f8 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af01f1e2e08190a6b73d7674c34e88 |
completed | March 9, 2026, 5:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b56b90054081908a51c366c6fe51d7 |
completed | March 14, 2026, 2:07 p.m. |
| NEDg | Description generation | batch_69b56c0a3b1c81908ae4c630c6881c1c |
completed | March 14, 2026, 2:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b56c94df3481908d2f4a3976fb775b |
completed | March 14, 2026, 2:11 p.m. |
Created at: March 9, 2026, 3:41 p.m.