Triple
T7283229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Susa |
E163800
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object |
Susa Cathedral
Susa Cathedral is a historic Roman Catholic church and prominent religious landmark in the town of Susa in northern Italy.
|
E654965
|
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: Susa Cathedral | Statement: [Susa, hasLandmark, Susa Cathedral]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Susa Cathedral Context triple: [Susa, hasLandmark, Susa Cathedral]
-
A.
Basilika
Basilika is a comprehensive 9th-century Byzantine legal code that systematically revised and expanded Justinian’s laws into Greek.
-
B.
Cathedral of Ani
The Cathedral of Ani is a monumental medieval Armenian church renowned for its distinctive architecture and as a symbol of the former glory of the ancient city of Ani.
-
C.
Susa Shrine
Susa Shrine is a Shinto shrine in Japan dedicated to the storm god Susanoo, revered as one of the country’s ancient and significant religious sites.
-
D.
Shira Cathedral
Shira Cathedral is a prominent religious landmark and architectural centerpiece of the city of Shira.
-
E.
Andria Cathedral
Andria Cathedral is a historic Roman Catholic church in Andria, Italy, notable as the burial site of several medieval royals including Holy Roman Empress Isabella of 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: Susa Cathedral Triple: [Susa, hasLandmark, Susa Cathedral]
Generated description
Susa Cathedral is a historic Roman Catholic church and prominent religious landmark in the town of Susa in northern Italy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Susa Cathedral Target entity description: Susa Cathedral is a historic Roman Catholic church and prominent religious landmark in the town of Susa in northern Italy.
-
A.
Basilika
Basilika is a comprehensive 9th-century Byzantine legal code that systematically revised and expanded Justinian’s laws into Greek.
-
B.
Cathedral of Ani
The Cathedral of Ani is a monumental medieval Armenian church renowned for its distinctive architecture and as a symbol of the former glory of the ancient city of Ani.
-
C.
Susa Shrine
Susa Shrine is a Shinto shrine in Japan dedicated to the storm god Susanoo, revered as one of the country’s ancient and significant religious sites.
-
D.
Shira Cathedral
Shira Cathedral is a prominent religious landmark and architectural centerpiece of the city of Shira.
-
E.
Andria Cathedral
Andria Cathedral is a historic Roman Catholic church in Andria, Italy, notable as the burial site of several medieval royals including Holy Roman Empress Isabella of 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_69c6886093b88190a254b1ce6db8bae7 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eb4ec2088190a6713eaa221d49a6 |
completed | March 27, 2026, 8:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7e5368794819084e50bc87d8264de |
completed | March 28, 2026, 2:27 p.m. |
| NEDg | Description generation | batch_69c7e628b9e0819099fef480ea58973d |
completed | March 28, 2026, 2:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7e7582ab08190827bb04465297c7c |
completed | March 28, 2026, 2:36 p.m. |
Created at: March 27, 2026, 2:59 p.m.