Triple
T20644469
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Esslingen district |
E507315
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Holzmaden
Holzmaden is a small German town in Baden-Württemberg renowned for its exceptionally well-preserved Jurassic fossils and important paleontological museum.
|
E1442514
|
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: Holzmaden | Statement: [Esslingen district, contains, Holzmaden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Holzmaden Context triple: [Esslingen district, contains, Holzmaden]
-
A.
Saerbeck
Saerbeck is a municipality in North Rhine-Westphalia, Germany, known for its pioneering role in renewable energy and climate protection initiatives.
-
B.
Bernlohe
Bernlohe is a village-level district that forms part of the town of Roth in Bavaria, Germany.
-
C.
Göhl
Göhl is a small municipality in the Ostholstein district of Schleswig-Holstein in northern Germany.
-
D.
Waidberg
Waidberg is a wooded hill and recreational area on the outskirts of Zurich, Switzerland, known for its hiking trails, viewpoints, and proximity to the Hönggerberg.
-
E.
Gerlosbach
Gerlosbach is a mountain river in Tyrol, Austria, that flows through the Zillertal Alps before joining the Ziller.
- 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: Holzmaden Triple: [Esslingen district, contains, Holzmaden]
Generated description
Holzmaden is a small German town in Baden-Württemberg renowned for its exceptionally well-preserved Jurassic fossils and important paleontological museum.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Holzmaden Target entity description: Holzmaden is a small German town in Baden-Württemberg renowned for its exceptionally well-preserved Jurassic fossils and important paleontological museum.
-
A.
Saerbeck
Saerbeck is a municipality in North Rhine-Westphalia, Germany, known for its pioneering role in renewable energy and climate protection initiatives.
-
B.
Bernlohe
Bernlohe is a village-level district that forms part of the town of Roth in Bavaria, Germany.
-
C.
Göhl
Göhl is a small municipality in the Ostholstein district of Schleswig-Holstein in northern Germany.
-
D.
Waidberg
Waidberg is a wooded hill and recreational area on the outskirts of Zurich, Switzerland, known for its hiking trails, viewpoints, and proximity to the Hönggerberg.
-
E.
Gerlosbach
Gerlosbach is a mountain river in Tyrol, Austria, that flows through the Zillertal Alps before joining the Ziller.
- 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_69e0b4be702c8190a3d2410a881d310a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6af1d0be481909e090193dcfd9cf6 |
completed | April 20, 2026, 10:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08c58e9b0081908fd2c4f3d8022401 |
completed | May 16, 2026, 7:29 p.m. |
| NEDg | Description generation | batch_6a08c65993408190859c75fb65ade257 |
completed | May 16, 2026, 7:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08c78fe4d48190a7a69f65f64ac66c |
completed | May 16, 2026, 7:37 p.m. |
Created at: April 16, 2026, 11:43 a.m.