Triple

T14647702
Position Surface form Disambiguated ID Type / Status
Subject Loue Valley E343895 entity
Predicate hasVillage P4011 FINISHED
Object Lods
Lods is a picturesque village in eastern France known for its historic stone houses and scenic setting along the Loue River.
 E1111897 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: Lods | Statement: [Loue Valley, hasVillage, Lods]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lods
Context triple: [Loue Valley, hasVillage, Lods]
  • A. Lod
    Lod is a historic city in central Israel, near Tel Aviv, known for its ancient past and for hosting Ben Gurion International Airport.
  • B. Lodis
    The Lodis were an Afghan Muslim dynasty that ruled the late Delhi Sultanate in northern India during the 15th and early 16th centuries, just before the rise of the Mughal Empire.
  • C. Loidoriki
    Loidoriki is a historic town in central Greece that once formed part of the medieval Catalan-ruled territories in the region.
  • D. Yolöten
    Yolöten is a town in Turkmenistan’s Mary Region, known as a local administrative and agricultural center in the southeastern part of the country.
  • E. Waldomore
    Waldomore is a historic 19th-century mansion in Clarksburg, West Virginia, known for its Classical Revival architecture and its role as a cultural and archival center for the community.
  • 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: Lods
Triple: [Loue Valley, hasVillage, Lods]
Generated description
Lods is a picturesque village in eastern France known for its historic stone houses and scenic setting along the Loue River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lods
Target entity description: Lods is a picturesque village in eastern France known for its historic stone houses and scenic setting along the Loue River.
  • A. Lod
    Lod is a historic city in central Israel, near Tel Aviv, known for its ancient past and for hosting Ben Gurion International Airport.
  • B. Lodis
    The Lodis were an Afghan Muslim dynasty that ruled the late Delhi Sultanate in northern India during the 15th and early 16th centuries, just before the rise of the Mughal Empire.
  • C. Loidoriki
    Loidoriki is a historic town in central Greece that once formed part of the medieval Catalan-ruled territories in the region.
  • D. Yolöten
    Yolöten is a town in Turkmenistan’s Mary Region, known as a local administrative and agricultural center in the southeastern part of the country.
  • E. Waldomore
    Waldomore is a historic 19th-century mansion in Clarksburg, West Virginia, known for its Classical Revival architecture and its role as a cultural and archival center for the community.
  • 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_69d822e1a2cc81908e5bb93cf61ce3cc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb4ebe8048190a2935d00c9cfd8be completed April 14, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdd5d7915c8190ae690810110c0b60 completed May 8, 2026, 12:23 p.m.
NEDg Description generation batch_69fdd79da64c8190b6ab426b2808e23f completed May 8, 2026, 12:31 p.m.
NED2 Entity disambiguation (via description) batch_69fdd85637148190a69211e72b1230d9 completed May 8, 2026, 12:34 p.m.
Created at: April 10, 2026, 1:26 a.m.