Triple
T20903546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alzey |
E514731
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object |
St. George’s Church
St. George’s Church is a historic Christian church and notable architectural landmark located in the town of Alzey, Germany.
|
E1456734
|
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: St. George’s Church | Statement: [Alzey, hasLandmark, St. George’s Church]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: St. George’s Church Context triple: [Alzey, hasLandmark, St. George’s Church]
-
A.
St. George’s Church
St. George’s Church is a prominent historic church and architectural landmark in the German town of Schmalkalden.
-
B.
St. George’s Church
St. George’s Church is a historic Christian church and prominent architectural landmark located in the town of Parchim, Germany.
-
C.
St. George's Church
St. George's Church is a historic medieval Orthodox church in Staraya Ladoga, Russia, renowned for its ancient frescoes and significance in early Russian architecture.
-
D.
St. George Church
St. George Church is a notable historic Christian church and local landmark located in the town of Surami in Georgia.
-
E.
St George Church
St George Church is a historic Christian church and notable religious landmark located in the town of Kyustendil, Bulgaria.
- 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: St. George’s Church Triple: [Alzey, hasLandmark, St. George’s Church]
Generated description
St. George’s Church is a historic Christian church and notable architectural landmark located in the town of Alzey, Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: St. George’s Church Target entity description: St. George’s Church is a historic Christian church and notable architectural landmark located in the town of Alzey, Germany.
-
A.
St. George’s Church
St. George’s Church is a prominent historic church and architectural landmark in the German town of Schmalkalden.
-
B.
St. George’s Church
St. George’s Church is a historic Christian church and prominent architectural landmark located in the town of Parchim, Germany.
-
C.
St. George's Church
St. George's Church is a historic medieval Orthodox church in Staraya Ladoga, Russia, renowned for its ancient frescoes and significance in early Russian architecture.
-
D.
St. George Church
St. George Church is a notable historic Christian church and local landmark located in the town of Surami in Georgia.
-
E.
St George Church
St George Church is a historic Christian church and notable religious landmark located in the town of Kyustendil, Bulgaria.
- 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_69e0b4f8a1108190bce3d31331290ced |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6e8fe4b808190bbc1bbde7a11f283 |
completed | April 21, 2026, 3:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0918d4dd548190a18f917a91eca161 |
completed | May 17, 2026, 1:24 a.m. |
| NEDg | Description generation | batch_6a0919aae8e88190abd9e20ff1cecebe |
completed | May 17, 2026, 1:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a091a6dc2c8819090618097438a2c00 |
completed | May 17, 2026, 1:31 a.m. |
Created at: April 16, 2026, 12:47 p.m.