Triple

T36672189
Position Surface form Disambiguated ID Type / Status
Subject Laclo E905446 entity
Predicate hasISO2CountryCode P176786 FINISHED
Object TL
TL is the ISO 3166-1 alpha-2 country code for Timor-Leste (East Timor), a Southeast Asian nation on the eastern half of Timor Island.
E2194245 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: TL | Statement: [Laclo, hasISO2CountryCode, TL]
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: TL
Triple: [Laclo, hasISO2CountryCode, TL]
Generated description
TL is the ISO 3166-1 alpha-2 country code for Timor-Leste (East Timor), a Southeast Asian nation on the eastern half of Timor Island.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasISO2CountryCode
Context triple: [Laclo, hasISO2CountryCode, TL]
  • A. hasISOCode
    Indicates that an entity is associated with a specific standardized ISO code that uniquely identifies it according to ISO conventions.
  • B. hasISOCodeType
    Indicates that an entity is associated with a specific type or category of ISO code (e.g., country code, currency code, language code).
  • C. hasISOCodeLevel
    Indicates that an entity is associated with a specific level or tier within an ISO (International Organization for Standardization) coding system.
  • D. hasISO3166-1Alpha2Country chosen
    Indicates that an entity is associated with a country identified by its ISO 3166-1 alpha-2 two-letter country code.
  • E. hasISOCodeVariant
    Indicates that one entity has an alternative or variant ISO code representation corresponding to another entity.
  • 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_69f76e6f10008190aea41746aa1b186e completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69f7c79fda8c8190993e6b056590b2db completed May 3, 2026, 10:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3a20da0cd8819090b6c0d0df607128 completed June 23, 2026, 5:59 a.m.
NEDg Description generation batch_6a3a21fb6a2c8190b554fa1a6d7a28c2 completed June 23, 2026, 6:04 a.m.
NED2 Entity disambiguation (via description) batch_6a3a2301ed048190826eaba7cfba00ed completed June 23, 2026, 6:09 a.m.
PD Predicate disambiguation batch_69f7c4796ebc819084a0dc08505e5f14 completed May 3, 2026, 9:56 p.m.
Created at: May 3, 2026, 4:12 p.m.