Triple

T6681451
Position Surface form Disambiguated ID Type / Status
Subject Tetã Paraguái E151990 entity
Predicate ISO3166-1Alpha2 P189 FINISHED
Object PY
PY is the two-letter ISO 3166-1 alpha-2 country code assigned to Paraguay.
E612195 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: PY | Statement: [Tetã Paraguái, ISO3166-1Alpha2, PY]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PY
Context triple: [Tetã Paraguái, ISO3166-1Alpha2, PY]
  • A. PYG
    PYG is the National Rail station code for Paisley Gilmour Street, a major railway station in Paisley, Scotland.
  • B. PyPy
    PyPy is a high-performance alternative Python interpreter featuring a Just-In-Time (JIT) compiler designed to significantly speed up the execution of Python programs.
  • C. PLY
    PLY is the National Rail station code for Plymouth railway station, a major rail hub in Plymouth, Devon, England.
  • D. P
    P is the vehicle registration code used on license plates for the Czech city of Plzeň.
  • E. P
    P is the vehicle registration code used on license plates for the Lithuanian city of Panevėžys.
  • 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: PY
Triple: [Tetã Paraguái, ISO3166-1Alpha2, PY]
Generated description
PY is the two-letter ISO 3166-1 alpha-2 country code assigned to Paraguay.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: PY
Target entity description: PY is the two-letter ISO 3166-1 alpha-2 country code assigned to Paraguay.
  • A. PYG
    PYG is the National Rail station code for Paisley Gilmour Street, a major railway station in Paisley, Scotland.
  • B. PyPy
    PyPy is a high-performance alternative Python interpreter featuring a Just-In-Time (JIT) compiler designed to significantly speed up the execution of Python programs.
  • C. PLY
    PLY is the National Rail station code for Plymouth railway station, a major rail hub in Plymouth, Devon, England.
  • D. P
    P is the vehicle registration code used on license plates for the Lithuanian city of Panevėžys.
  • E. P
    P is the vehicle registration code used on license plates for the Czech city of Plzeň.
  • 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_69c687f9977c819097e7f5ada4fe522e completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b11f945481908e1a9f0839c35b5b completed March 27, 2026, 4:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6f7ac6714819081966dea66b590c1 completed March 27, 2026, 9:33 p.m.
NEDg Description generation batch_69c6fa1afd7081908c45b5a4f1f4d117 completed March 27, 2026, 9:43 p.m.
NED2 Entity disambiguation (via description) batch_69c6faa38df0819095d1479ccab03c56 completed March 27, 2026, 9:46 p.m.
Created at: March 27, 2026, 2:04 p.m.