Triple
T16471179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Calw |
E400063
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Hirsau
Hirsau is a historic district of the town of Calw in Germany, best known for the ruins of its former Benedictine monastery and its scenic setting in the northern Black Forest.
|
E1215514
|
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: Hirsau | Statement: [Calw, hasSubdivision, Hirsau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hirsau Context triple: [Calw, hasSubdivision, Hirsau]
-
A.
Kirchlauter
Kirchlauter is a small municipality in northern Bavaria, Germany, known for its rural character and location within the Haßberge region.
-
B.
Abteital
Abteital is the German name for Val Badia, a picturesque valley in the Dolomites of northern Italy known for its Ladin culture and alpine landscapes.
-
C.
Heiderhof
Heiderhof is a residential subdistrict of the Bonn borough Bad Godesberg in western Germany.
-
D.
Harzheim
Harzheim is a village in the town of Mechernich in North Rhine-Westphalia, Germany.
-
E.
Bétharram
Bétharram is a small locality in southwestern France known as a pilgrimage site and gateway to the famous Grotte de Bétharram cave system.
- 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: Hirsau Triple: [Calw, hasSubdivision, Hirsau]
Generated description
Hirsau is a historic district of the town of Calw in Germany, best known for the ruins of its former Benedictine monastery and its scenic setting in the northern Black Forest.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hirsau Target entity description: Hirsau is a historic district of the town of Calw in Germany, best known for the ruins of its former Benedictine monastery and its scenic setting in the northern Black Forest.
-
A.
Kirchlauter
Kirchlauter is a small municipality in northern Bavaria, Germany, known for its rural character and location within the Haßberge region.
-
B.
Abteital
Abteital is the German name for Val Badia, a picturesque valley in the Dolomites of northern Italy known for its Ladin culture and alpine landscapes.
-
C.
Heiderhof
Heiderhof is a residential subdistrict of the Bonn borough Bad Godesberg in western Germany.
-
D.
Harzheim
Harzheim is a village in the town of Mechernich in North Rhine-Westphalia, Germany.
-
E.
Bétharram
Bétharram is a small locality in southwestern France known as a pilgrimage site and gateway to the famous Grotte de Bétharram cave system.
- 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_69d87f2dac988190b74d6e185fa88ba4 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32dd0d2fc81909b68b5afb00f192f |
completed | April 18, 2026, 7:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a004f5af4308190bd023624de35027f |
completed | May 10, 2026, 9:26 a.m. |
| NEDg | Description generation | batch_6a0050c5d4548190a674c1c19f08a9fd |
completed | May 10, 2026, 9:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0051a7ae208190b33d42cc8d4bb21f |
completed | May 10, 2026, 9:36 a.m. |
Created at: April 10, 2026, 5:11 a.m.