Triple

T24320569
Position Surface form Disambiguated ID Type / Status
Subject National Route (Argentina) E612947 entity
Predicate typicalSignAbbreviation P36183 FINISHED
Object RN
RN is the standard abbreviation used on road signs to designate Argentina's national highways (Rutas Nacionales).
E1629890 NE FINISHED

How this triple was built (3 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: RN | Statement: [National Route (Argentina), typicalSignAbbreviation, RN]
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: RN
Triple: [National Route (Argentina), typicalSignAbbreviation, RN]
Generated description
RN is the standard abbreviation used on road signs to designate Argentina's national highways (Rutas Nacionales).
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typicalSignAbbreviation
Context triple: [National Route (Argentina), typicalSignAbbreviation, RN]
  • A. alternativeAbbreviation
    Indicates that one term serves as an alternative shortened form or acronym for another term.
  • B. abbreviationUsedFor chosen
    Indicates that a particular shortened form or acronym is used to represent or stand in for a longer term, name, or expression.
  • C. abbreviationUsedBy
    Indicates that a particular abbreviation is employed or adopted by a specified entity in its communication, documentation, or usage.
  • D. abbreviationOrShortForm
    Indicates that one term is an abbreviation or shortened form of another term.
  • E. typeOfAbbreviation
    Indicates that one term is an abbreviation of a specific type or category (e.g., acronym, initialism) of another expression.
  • F. None of above.

Provenance (6 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_69e2d7da491c8190b6e6218af50923db completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f292ab2fa08190bc19c3edc0a1a9b2 completed April 29, 2026, 11:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0fc9e213dc8190ad9a56715b74bc35 completed May 22, 2026, 3:13 a.m.
NEDg Description generation batch_6a0fcecc34808190b1b853c9c471a382 completed May 22, 2026, 3:34 a.m.
NED2 Entity disambiguation (via description) batch_6a0fcf5008e08190b0744a9be634cedb completed May 22, 2026, 3:36 a.m.
PD Predicate disambiguation batch_69f1c45f45888190a9ccc225906c34bd completed April 29, 2026, 8:42 a.m.
Created at: April 18, 2026, 1:49 a.m.