Triple
T9472353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sundern |
E228422
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Endorf
Endorf is a village-level district (Ortsteil) of the town of Sundern in the Hochsauerland region of North Rhine-Westphalia, Germany.
|
E800255
|
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: Endorf | Statement: [Sundern, hasSubdivision, Endorf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Endorf Context triple: [Sundern, hasSubdivision, Endorf]
-
A.
Landes
Landes is a department in southwestern France known for its vast Atlantic coastline, extensive pine forests, and popular surfing beaches.
-
B.
Eyring
Eyring is a surname most prominently associated with Henry Eyring, a renowned theoretical chemist known for his work on chemical reaction rates and transition state theory.
-
C.
Ende
Ende is a coastal town and regency capital on the Indonesian island of Flores, known as a regional hub and gateway to nearby natural attractions.
-
D.
Eteläranta
Eteläranta is a central waterfront street and area in Helsinki, Finland, known for its proximity to the South Harbour and key government and commercial buildings.
-
E.
Ehrwald
Ehrwald is a picturesque Austrian village in Tyrol, known as a popular alpine resort and gateway to the Zugspitze massif.
- 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: Endorf Triple: [Sundern, hasSubdivision, Endorf]
Generated description
Endorf is a village-level district (Ortsteil) of the town of Sundern in the Hochsauerland region of North Rhine-Westphalia, Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Endorf Target entity description: Endorf is a village-level district (Ortsteil) of the town of Sundern in the Hochsauerland region of North Rhine-Westphalia, Germany.
-
A.
Landes
Landes is a department in southwestern France known for its vast Atlantic coastline, extensive pine forests, and popular surfing beaches.
-
B.
Eyring
Eyring is a surname most prominently associated with Henry Eyring, a renowned theoretical chemist known for his work on chemical reaction rates and transition state theory.
-
C.
Ende
Ende is a coastal town and regency capital on the Indonesian island of Flores, known as a regional hub and gateway to nearby natural attractions.
-
D.
Eteläranta
Eteläranta is a central waterfront street and area in Helsinki, Finland, known for its proximity to the South Harbour and key government and commercial buildings.
-
E.
Ehrwald
Ehrwald is a picturesque Austrian village in Tyrol, known as a popular alpine resort and gateway to the Zugspitze massif.
- 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_69ca847162c48190b079076c9595513c |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7fef6f288190b2d158c829b31de9 |
completed | April 1, 2026, 8:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d122cd0728819088f6c832cd90d832 |
completed | April 4, 2026, 2:40 p.m. |
| NEDg | Description generation | batch_69d12350baa08190b08f619391acbd75 |
completed | April 4, 2026, 2:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d123af901c819098bb1401846f0daf |
completed | April 4, 2026, 2:43 p.m. |
Created at: March 30, 2026, 7:54 p.m.