Triple

T13856330
Position Surface form Disambiguated ID Type / Status
Subject Igny E333073 entity
Predicate hasRailwayStation P918 FINISHED
Object Igny station
Igny station is a local railway stop in the commune of Igny in France, serving regional passenger trains and connecting the town to the wider rail network.
E1066903 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: Igny station | Statement: [Igny, hasRailwayStation, Igny station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Igny station
Context triple: [Igny, hasRailwayStation, Igny station]
  • A. Tumba station
    Tumba station is a railway station in Tumba, Sweden, serving as a local commuter hub on the Stockholm commuter rail network.
  • B. Niog station
    Niog station is a planned southern terminal station of Manila’s LRT Line 1 extension project in the Philippines.
  • C. Jubany Station
    Jubany Station is an Argentine Antarctic research base located on King George Island near the Antarctic Peninsula, supporting scientific studies in fields such as glaciology, biology, and atmospheric science.
  • D. Ablon station
    Ablon station is a suburban railway stop in the Paris metropolitan area serving the commune of Ablon-sur-Seine in northern France.
  • E. Holmlia Station
    Holmlia Station is a railway station in Oslo, Norway, serving the residential district of Holmlia and the surrounding Søndre Nordstrand area.
  • 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: Igny station
Triple: [Igny, hasRailwayStation, Igny station]
Generated description
Igny station is a local railway stop in the commune of Igny in France, serving regional passenger trains and connecting the town to the wider rail network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Igny station
Target entity description: Igny station is a local railway stop in the commune of Igny in France, serving regional passenger trains and connecting the town to the wider rail network.
  • A. Tumba station
    Tumba station is a railway station in Tumba, Sweden, serving as a local commuter hub on the Stockholm commuter rail network.
  • B. Niog station
    Niog station is a planned southern terminal station of Manila’s LRT Line 1 extension project in the Philippines.
  • C. Jubany Station
    Jubany Station is an Argentine Antarctic research base located on King George Island near the Antarctic Peninsula, supporting scientific studies in fields such as glaciology, biology, and atmospheric science.
  • D. Ablon station
    Ablon station is a suburban railway stop in the Paris metropolitan area serving the commune of Ablon-sur-Seine in northern France.
  • E. Holmlia Station
    Holmlia Station is a railway station in Oslo, Norway, serving the residential district of Holmlia and the surrounding Søndre Nordstrand area.
  • 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_69d81c5ba13c8190839315f54768acfd completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02dc9f488190b7181dcb7e304632 completed April 14, 2026, 9:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c0fb7c3c819081fc6f89aa17d6af completed May 3, 2026, 9:41 p.m.
NEDg Description generation batch_69f7c2c711948190ac614291592a7e03 completed May 3, 2026, 9:48 p.m.
NED2 Entity disambiguation (via description) batch_69f7c36f28b48190b734a9e5e7ae39b9 completed May 3, 2026, 9:51 p.m.
Created at: April 9, 2026, 10:14 p.m.