Triple

T6380615
Position Surface form Disambiguated ID Type / Status
Subject Rob Thomas E143569 entity
Predicate placeOfBirth P1 FINISHED
Object Landstuhl
Landstuhl is a small town in southwestern Germany, known for its proximity to the U.S. military’s Ramstein Air Base and its historic Nanstein Castle.
 E589460 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: Landstuhl | Statement: [Rob Thomas, placeOfBirth, Landstuhl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Landstuhl
Context triple: [Rob Thomas, placeOfBirth, Landstuhl]
  • A. Lorze
    The Lorze is a river in central Switzerland that drains Lake Zug and flows through the cantons of Zug and Aargau before joining the Reuss.
  • B. Carle
    Carle is a given name most notably borne by the 18th-century French painter Carle Van Loo, a prominent figure in the Rococo art movement.
  • C. Midewin
    Midewin is an alternative name for the Midewiwin, a traditional Anishinaabe spiritual society known for its healing practices and ceremonial teachings.
  • D. Ohlendorf
    Ohlendorf is a German surname most notably associated with Otto Ohlendorf, a high-ranking Nazi SS officer and war criminal.
  • E. Mauch
    Mauch is a surname most notably borne by Corine Mauch, the long-serving mayor of Zurich, Switzerland.
  • 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: Landstuhl
Triple: [Rob Thomas, placeOfBirth, Landstuhl]
Generated description
Landstuhl is a small town in southwestern Germany, known for its proximity to the U.S. military’s Ramstein Air Base and its historic Nanstein Castle.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Landstuhl
Target entity description: Landstuhl is a small town in southwestern Germany, known for its proximity to the U.S. military’s Ramstein Air Base and its historic Nanstein Castle.
  • A. Lorze
    The Lorze is a river in central Switzerland that drains Lake Zug and flows through the cantons of Zug and Aargau before joining the Reuss.
  • B. Carle
    Carle is a given name most notably borne by the 18th-century French painter Carle Van Loo, a prominent figure in the Rococo art movement.
  • C. Midewin
    Midewin is an alternative name for the Midewiwin, a traditional Anishinaabe spiritual society known for its healing practices and ceremonial teachings.
  • D. Ohlendorf
    Ohlendorf is a German surname most notably associated with Otto Ohlendorf, a high-ranking Nazi SS officer and war criminal.
  • E. Mauch
    Mauch is a surname most notably borne by Corine Mauch, the long-serving mayor of Zurich, Switzerland.
  • 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_69c008d9f4348190ab598a2913259a1c completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0685265208190b2204bd4abff2668 completed March 22, 2026, 10:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69c62daf2f408190923d67bd0222d2bb completed March 27, 2026, 7:11 a.m.
NEDg Description generation batch_69c63321ec688190ae527f6ae9be5791 completed March 27, 2026, 7:34 a.m.
NED2 Entity disambiguation (via description) batch_69c633e823548190950cc50e360e4ef6 completed March 27, 2026, 7:38 a.m.
Created at: March 22, 2026, 4:33 p.m.