Triple
T13825808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Drogo of Metz |
E332244
|
entity |
| Predicate | placeOfDeath |
P21
|
FINISHED |
| Object |
Himmerod
Himmerod is a historic Cistercian abbey in the Eifel region of Germany, known as a religious and cultural center since the Middle Ages.
|
E1160339
|
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: Himmerod | Statement: [Drogo of Metz, placeOfDeath, Himmerod]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Himmerod Context triple: [Drogo of Metz, placeOfDeath, Himmerod]
-
A.
Wedemark
Wedemark is a municipality in Lower Saxony, Germany, located north of Hanover and known for its semi-rural character and commuter links to the city.
-
B.
Wernigerode
Wernigerode is a picturesque German town in Saxony-Anhalt known for its colorful half-timbered houses, medieval castle, and location on the northern slopes of the Harz Mountains.
-
C.
Wittmund
Wittmund is a small town in Lower Saxony, Germany, known as an administrative center in the East Frisia region.
-
D.
Breckerfeld
Breckerfeld is a small town in North Rhine-Westphalia, Germany, known for its rural character and location in the hilly, forested region of the Sauerland.
-
E.
Gevelsberg
Gevelsberg is a town in North Rhine-Westphalia, Germany, situated in the Ennepe-Ruhr district within the Ruhr metropolitan region.
- 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: Himmerod Triple: [Drogo of Metz, placeOfDeath, Himmerod]
Generated description
Himmerod is a historic Cistercian abbey in the Eifel region of Germany, known as a religious and cultural center since the Middle Ages.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Himmerod Target entity description: Himmerod is a historic Cistercian abbey in the Eifel region of Germany, known as a religious and cultural center since the Middle Ages.
-
A.
Wedemark
Wedemark is a municipality in Lower Saxony, Germany, located north of Hanover and known for its semi-rural character and commuter links to the city.
-
B.
Wernigerode
Wernigerode is a picturesque German town in Saxony-Anhalt known for its colorful half-timbered houses, medieval castle, and location on the northern slopes of the Harz Mountains.
-
C.
Wittmund
Wittmund is a small town in Lower Saxony, Germany, known as an administrative center in the East Frisia region.
-
D.
Breckerfeld
Breckerfeld is a small town in North Rhine-Westphalia, Germany, known for its rural character and location in the hilly, forested region of the Sauerland.
-
E.
Gevelsberg
Gevelsberg is a town in North Rhine-Westphalia, Germany, situated in the Ennepe-Ruhr district within the Ruhr metropolitan region.
- 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_69d81c5ae7c88190b0dd41bdafeb5999 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0295d2d48190b08eba0d805bd72d |
completed | April 14, 2026, 9:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3643a23481909103166abb6aaa4e |
completed | May 9, 2026, 1:27 p.m. |
| NEDg | Description generation | batch_69ff379902e48190a84c71f532140f14 |
completed | May 9, 2026, 1:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff384962f88190964fc040a2a44aa8 |
completed | May 9, 2026, 1:36 p.m. |
Created at: April 9, 2026, 10:13 p.m.