Triple

T19237021
Position Surface form Disambiguated ID Type / Status
Subject Provincial routes of Chubut E481025 entity
Predicate connects P390 FINISHED
Object Tecka
Tecka is a small town in the Chubut Province of Argentine Patagonia, serving as a local hub along regional road networks.
E1365806 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: Tecka | Statement: [Provincial routes of Chubut, connects, Tecka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tecka
Context triple: [Provincial routes of Chubut, connects, Tecka]
  • A. Teckberg
    Teckberg is a prominent hill in the Swabian Jura of Baden-Württemberg, Germany, best known as the site of the historic Teck Castle overlooking the surrounding region.
  • B. Teves
    Teves is an alternative Ashkenazi transliteration of the Hebrew month name Tevet, used in the Jewish calendar.
  • C. Musina
    Musina is a northern South African town in Limpopo Province, known as a key border and transport hub near Zimbabwe and for its history of copper and iron ore mining.
  • D. Taucha
    Taucha is a small town in the German state of Saxony, located just northeast of Leipzig and closely integrated into its urban and economic area.
  • E. Citura
    Citura is the public transport operator responsible for managing Reims’ urban transit network, including its tramway system, in northeastern France.
  • 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: Tecka
Triple: [Provincial routes of Chubut, connects, Tecka]
Generated description
Tecka is a small town in the Chubut Province of Argentine Patagonia, serving as a local hub along regional road networks.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tecka
Target entity description: Tecka is a small town in the Chubut Province of Argentine Patagonia, serving as a local hub along regional road networks.
  • A. Teckberg
    Teckberg is a prominent hill in the Swabian Jura of Baden-Württemberg, Germany, best known as the site of the historic Teck Castle overlooking the surrounding region.
  • B. Teves
    Teves is an alternative Ashkenazi transliteration of the Hebrew month name Tevet, used in the Jewish calendar.
  • C. Musina
    Musina is a northern South African town in Limpopo Province, known as a key border and transport hub near Zimbabwe and for its history of copper and iron ore mining.
  • D. Taucha
    Taucha is a small town in the German state of Saxony, located just northeast of Leipzig and closely integrated into its urban and economic area.
  • E. Citura
    Citura is the public transport operator responsible for managing Reims’ urban transit network, including its tramway system, in northeastern France.
  • 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_69d8e8ccb8f48190ad420098e74fb1db completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5faed9ef0819085035cc17d1546e5 completed April 20, 2026, 10:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0705d7e1348190b3220603270ab03c completed May 15, 2026, 11:39 a.m.
NEDg Description generation batch_6a07069434cc8190a91be8afb5bd88c8 completed May 15, 2026, 11:42 a.m.
NED2 Entity disambiguation (via description) batch_6a07074bd4288190b2f51e0392efcdc3 completed May 15, 2026, 11:45 a.m.
Created at: April 10, 2026, 1:26 p.m.