Triple

T23454538
Position Surface form Disambiguated ID Type / Status
Subject Sousse Governorate E567881 entity
Predicate contains P35 FINISHED
Object Hergla
Hergla is a small coastal town in northeastern Tunisia known for its beaches, traditional fishing, and proximity to the resort city of Sousse.
E1591188 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: Hergla | Statement: [Sousse Governorate, contains, Hergla]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hergla
Context triple: [Sousse Governorate, contains, Hergla]
  • A. Eyrda
    Eyrda is the fantasy game world and primary setting of the MMORPG Forsaken World, featuring diverse regions, races, and mythological conflicts.
  • B. Hérin
    Hérin is a commune in northern France located within the Nord department in the Hauts-de-France region.
  • C. Svíar
    Svíar are the Old Norse term for the Svear, an early North Germanic people who inhabited central Sweden and played a key role in the formation of the Swedish kingdom.
  • D. Hjerkinn
    Hjerkinn is a small mountain village in central Norway, known as a gateway to the Dovrefjell plateau and its surrounding national parks and hiking areas.
  • E. Hellisay
    Hellisay is an uninhabited Scottish island in the Outer Hebrides, known for its rugged coastline and wildlife.
  • 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: Hergla
Triple: [Sousse Governorate, contains, Hergla]
Generated description
Hergla is a small coastal town in northeastern Tunisia known for its beaches, traditional fishing, and proximity to the resort city of Sousse.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hergla
Target entity description: Hergla is a small coastal town in northeastern Tunisia known for its beaches, traditional fishing, and proximity to the resort city of Sousse.
  • A. Eyrda
    Eyrda is the fantasy game world and primary setting of the MMORPG Forsaken World, featuring diverse regions, races, and mythological conflicts.
  • B. Hérin
    Hérin is a commune in northern France located within the Nord department in the Hauts-de-France region.
  • C. Svíar
    Svíar are the Old Norse term for the Svear, an early North Germanic people who inhabited central Sweden and played a key role in the formation of the Swedish kingdom.
  • D. Hjerkinn
    Hjerkinn is a small mountain village in central Norway, known as a gateway to the Dovrefjell plateau and its surrounding national parks and hiking areas.
  • E. Hellisay
    Hellisay is an uninhabited Scottish island in the Outer Hebrides, known for its rugged coastline and wildlife.
  • 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_69e2458b4c888190b1d7998f9862a558 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1a695fed08190bfa160e69200546d completed April 29, 2026, 6:35 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0cdf3999548190bde08aaa2673d58a completed May 19, 2026, 10:07 p.m.
NEDg Description generation batch_6a0ce15fd1ec81909d678480e2820dec completed May 19, 2026, 10:17 p.m.
NED2 Entity disambiguation (via description) batch_6a0ce1bcd440819087344b83bb0ac0e8 completed May 19, 2026, 10:18 p.m.
Created at: April 17, 2026, 5:53 p.m.