Triple

T14556119
Position Surface form Disambiguated ID Type / Status
Subject Vilaine E341545 entity
Predicate hasDam P8736 FINISHED
Object Arzal dam
Arzal dam is a major tidal barrage and navigation lock complex in Brittany, France, that regulates the Vilaine River’s flow and protects surrounding lowlands from flooding.
E1105973 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: Arzal dam | Statement: [Vilaine, hasDam, Arzal dam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arzal dam
Context triple: [Vilaine, hasDam, Arzal dam]
  • A. Shahdara
    Shahdara is a densely populated residential and commercial locality in East Delhi, India, known as one of the city’s oldest suburbs and a key transport hub.
  • B. Shahdara
    Shahdara is a locality on the northern outskirts of Lahore, Pakistan, serving as a major transport hub and gateway into the city.
  • C. Gulval
    Gulval is a small village in Cornwall, England, situated just outside the town of Penzance and known for its historic church and rural character.
  • D. Meerane
    Meerane is a small industrial town in the German state of Saxony that forms part of the wider Leipzig metropolitan region.
  • E. Khar Balgas
    Khar Balgas was the capital city and political center of the Uyghur Khaganate in central Mongolia during the early medieval period.
  • 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: Arzal dam
Triple: [Vilaine, hasDam, Arzal dam]
Generated description
Arzal dam is a major tidal barrage and navigation lock complex in Brittany, France, that regulates the Vilaine River’s flow and protects surrounding lowlands from flooding.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Arzal dam
Target entity description: Arzal dam is a major tidal barrage and navigation lock complex in Brittany, France, that regulates the Vilaine River’s flow and protects surrounding lowlands from flooding.
  • A. Shahdara
    Shahdara is a densely populated residential and commercial locality in East Delhi, India, known as one of the city’s oldest suburbs and a key transport hub.
  • B. Shahdara
    Shahdara is a locality on the northern outskirts of Lahore, Pakistan, serving as a major transport hub and gateway into the city.
  • C. Gulval
    Gulval is a small village in Cornwall, England, situated just outside the town of Penzance and known for its historic church and rural character.
  • D. Meerane
    Meerane is a small industrial town in the German state of Saxony that forms part of the wider Leipzig metropolitan region.
  • E. Khar Balgas
    Khar Balgas was the capital city and political center of the Uyghur Khaganate in central Mongolia during the early medieval period.
  • 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_69d822db9c8481908213ceb39585f792 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb2f1490881908673f429e5288c86 completed April 14, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8abde0308190819da6867e703ea7 completed May 8, 2026, 7:03 a.m.
NEDg Description generation batch_69fd8bb3c1188190b158d30e9c962911 completed May 8, 2026, 7:07 a.m.
NED2 Entity disambiguation (via description) batch_69fd8c6e7d448190835f87e27c998623 completed May 8, 2026, 7:10 a.m.
Created at: April 10, 2026, 1:23 a.m.