Triple

T5561100
Position Surface form Disambiguated ID Type / Status
Subject Space Environmental Effects Laboratory E145766 entity
Predicate hasAbbreviation P43 FINISHED
Object SEEL
SEEL is the abbreviation for the Space Environmental Effects Laboratory, a facility focused on studying how the space environment impacts materials and systems.
 E532331 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: SEEL | Statement: [Space Environmental Effects Laboratory, hasAbbreviation, SEEL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SEEL
Context triple: [Space Environmental Effects Laboratory, hasAbbreviation, SEEL]
  • A. Sel
    Sel is a municipality in Innlandet county, Norway, known for its mountainous landscapes and location in the Gudbrandsdalen valley.
  • B. SEBL
    SEBL was the stock ticker symbol for Siebel Systems, a prominent customer relationship management (CRM) software company later acquired by Oracle.
  • C. Seille
    Seille is a river in eastern France that flows through the regions of Jura and Saône-et-Loire before joining the Saône.
  • D. Sääse
    Sääse is a residential subdistrict of the Mustamäe district in Tallinn, Estonia.
  • E. Selle
    The Selle is a river in northern France that flows through the Hauts-de-France region before joining the Scheldt.
  • 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: SEEL
Triple: [Space Environmental Effects Laboratory, hasAbbreviation, SEEL]
Generated description
SEEL is the abbreviation for the Space Environmental Effects Laboratory, a facility focused on studying how the space environment impacts materials and systems.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SEEL
Target entity description: SEEL is the abbreviation for the Space Environmental Effects Laboratory, a facility focused on studying how the space environment impacts materials and systems.
  • A. Sel
    Sel is a municipality in Innlandet county, Norway, known for its mountainous landscapes and location in the Gudbrandsdalen valley.
  • B. SEBL
    SEBL was the stock ticker symbol for Siebel Systems, a prominent customer relationship management (CRM) software company later acquired by Oracle.
  • C. Seille
    Seille is a river in eastern France that flows through the regions of Jura and Saône-et-Loire before joining the Saône.
  • D. Sääse
    Sääse is a residential subdistrict of the Mustamäe district in Tallinn, Estonia.
  • E. Selle
    The Selle is a river in northern France that flows through the Hauts-de-France region before joining the Scheldt.
  • 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_69c008fcaf788190bafa02a1917ee73b completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c0201857848190a5443b51bcdb63fa completed March 22, 2026, 5 p.m.
NED1 Entity disambiguation (via context triple) batch_69c028424ddc8190869b530a8eb43f50 completed March 22, 2026, 5:34 p.m.
NEDg Description generation batch_69c0349f64c0819083b39d8b7960a393 completed March 22, 2026, 6:27 p.m.
NED2 Entity disambiguation (via description) batch_69c0354e95808190b4386e2796291dba completed March 22, 2026, 6:30 p.m.
Created at: March 22, 2026, 3:36 p.m.