Triple

T3173572
Position Surface form Disambiguated ID Type / Status
Subject arrondissement of Palaiseau E66409 entity
Predicate contains P35 FINISHED
Object Linas
Linas is a commune in the southern suburbs of Paris, located in the Essonne department of the Île-de-France region in northern France.
 E333080 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: Linas | Statement: [arrondissement of Palaiseau, contains, Linas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Linas
Context triple: [arrondissement of Palaiseau, contains, Linas]
  • A. Mikelis
    Mikelis is a given name, primarily used in Latvia, that serves as a local variant of the name Michael.
  • B. Simas
    Simas is a surname most notably associated with David Simas, an American lawyer and former political advisor who served in the Obama administration.
  • C. Andris
    Andris is a masculine given name commonly used in Latvia and other Baltic and Nordic countries, equivalent to Andrew in English.
  • D. Mindaugas
    Mindaugas was the 13th-century monarch who unified Lithuanian lands and became the first and only crowned King of Lithuania, laying the foundations of the Grand Duchy of Lithuania.
  • E. Emilis
    Emilis is a given name, primarily used in Lithuanian and other Baltic or Eastern European contexts, derived from the name Emil.
  • 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: Linas
Triple: [arrondissement of Palaiseau, contains, Linas]
Generated description
Linas is a commune in the southern suburbs of Paris, located in the Essonne department of the Île-de-France region in northern France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Linas
Target entity description: Linas is a commune in the southern suburbs of Paris, located in the Essonne department of the Île-de-France region in northern France.
  • A. Mikelis
    Mikelis is a given name, primarily used in Latvia, that serves as a local variant of the name Michael.
  • B. Simas
    Simas is a surname most notably associated with David Simas, an American lawyer and former political advisor who served in the Obama administration.
  • C. Andris
    Andris is a masculine given name commonly used in Latvia and other Baltic and Nordic countries, equivalent to Andrew in English.
  • D. Mindaugas
    Mindaugas was the 13th-century monarch who unified Lithuanian lands and became the first and only crowned King of Lithuania, laying the foundations of the Grand Duchy of Lithuania.
  • E. Emilis
    Emilis is a given name, primarily used in Lithuanian and other Baltic or Eastern European contexts, derived from the name Emil.
  • 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_69ad8586a34c8190944c63ec11a8de1a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada66facf881908b9ec687d68ce91b completed March 8, 2026, 4:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69b235edf7708190b79605a05baf1711 completed March 12, 2026, 3:41 a.m.
NEDg Description generation batch_69b236e61ae88190a76b942c6cddff41 completed March 12, 2026, 3:45 a.m.
NED2 Entity disambiguation (via description) batch_69b23770ed4c8190b5d929cc95a286a0 completed March 12, 2026, 3:48 a.m.
Created at: March 8, 2026, 3:06 p.m.