Triple

T21493349
Position Surface form Disambiguated ID Type / Status
Subject Herentals E530290 entity
Predicate railwayLine P848 FINISHED
Object Line 29
Line 29 is a Belgian railway line that connects the city of Herentals with other destinations in the national rail network.
 E1487618 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: Line 29 | Statement: [Herentals, railwayLine, Line 29]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Line 29
Context triple: [Herentals, railwayLine, Line 29]
  • A. Line 29
    Line 29 is a planned rapid transit line of the Shenzhen Metro system in Shenzhen, China.
  • B. Line 29
    Line 29 is a commuter rail service on Stockholm’s narrow-gauge Roslagsbanan network, operating between the city and its northeastern suburbs.
  • C. Line 28
    Line 28 is a planned rapid transit line of the Shenzhen Metro system in Shenzhen, China.
  • D. Line 28
    Line 28 is a commuter rail line on Stockholm’s narrow-gauge Roslagsbanan network, serving suburban areas northeast of the city.
  • E. Line 27
    Line 27 is a commuter rail line on Stockholm’s narrow-gauge Roslagsbanan network, serving suburban areas northeast of the city.
  • 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: Line 29
Triple: [Herentals, railwayLine, Line 29]
Generated description
Line 29 is a Belgian railway line that connects the city of Herentals with other destinations in the national rail network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Line 29
Target entity description: Line 29 is a Belgian railway line that connects the city of Herentals with other destinations in the national rail network.
  • A. Line 29
    Line 29 is a planned rapid transit line of the Shenzhen Metro system in Shenzhen, China.
  • B. Line 29
    Line 29 is a commuter rail service on Stockholm’s narrow-gauge Roslagsbanan network, operating between the city and its northeastern suburbs.
  • C. Line 28
    Line 28 is a planned rapid transit line of the Shenzhen Metro system in Shenzhen, China.
  • D. Line 28
    Line 28 is a commuter rail line on Stockholm’s narrow-gauge Roslagsbanan network, serving suburban areas northeast of the city.
  • E. Line 27
    Line 27 is a commuter rail line on Stockholm’s narrow-gauge Roslagsbanan network, serving suburban areas northeast of the city.
  • 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_69e0c45bd15481909fba5910765cdda2 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea54fb608190a147cd8aa6d6d04b completed April 23, 2026, 9:45 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09e1398efc8190a6465defb1715c2b completed May 17, 2026, 3:39 p.m.
NEDg Description generation batch_6a09e24c7da48190b7e19f709b3c0d79 completed May 17, 2026, 3:44 p.m.
NED2 Entity disambiguation (via description) batch_6a09e2c86858819092216c12d8aa3348 completed May 17, 2026, 3:46 p.m.
Created at: April 16, 2026, 6:23 p.m.