Triple

T4297190
Position Surface form Disambiguated ID Type / Status
Subject Siscia E99742 entity
Predicate originallyInhabitedBy P3032 FINISHED
Object Segestani
The Segestani were an ancient Illyrian tribe that inhabited the region around the city of Siscia in what is now central Croatia.
 E429613 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: Segestani | Statement: [Siscia, originallyInhabitedBy, Segestani]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Segestani
Context triple: [Siscia, originallyInhabitedBy, Segestani]
  • A. Ibzan
    Ibzan is a minor biblical judge of Israel mentioned in the Book of Judges, known for his large family and brief period of leadership.
  • B. Heruli
    The Heruli were an East Germanic tribal group known for their role in the late Roman Empire’s military and for participating in the migrations and power struggles that reshaped Europe in late antiquity.
  • C. Margush
    Margush is an ancient historical region corresponding to the area around the oasis city of Merv in present-day Turkmenistan, once a major center on the Silk Road.
  • D. Arrifes
    Arrifes is a civil parish in the municipality of Ponta Delgada on São Miguel Island in Portugal’s Azores archipelago.
  • E. Camuno
    Camuno is a regional Romance dialect spoken in the Camonica Valley of Lombardy in northern Italy.
  • 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: Segestani
Triple: [Siscia, originallyInhabitedBy, Segestani]
Generated description
The Segestani were an ancient Illyrian tribe that inhabited the region around the city of Siscia in what is now central Croatia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Segestani
Target entity description: The Segestani were an ancient Illyrian tribe that inhabited the region around the city of Siscia in what is now central Croatia.
  • A. Ibzan
    Ibzan is a minor biblical judge of Israel mentioned in the Book of Judges, known for his large family and brief period of leadership.
  • B. Heruli
    The Heruli were an East Germanic tribal group known for their role in the late Roman Empire’s military and for participating in the migrations and power struggles that reshaped Europe in late antiquity.
  • C. Margush
    Margush is an ancient historical region corresponding to the area around the oasis city of Merv in present-day Turkmenistan, once a major center on the Silk Road.
  • D. Arrifes
    Arrifes is a civil parish in the municipality of Ponta Delgada on São Miguel Island in Portugal’s Azores archipelago.
  • E. Camuno
    Camuno is a regional Romance dialect spoken in the Camonica Valley of Lombardy in northern Italy.
  • 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_69b3455175088190aa79c6e03b86647e completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3509aebd48190af38f2e37f07869a completed March 12, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5c7439b3481908d2554f7b86002aa completed March 14, 2026, 8:38 p.m.
NEDg Description generation batch_69b5c95ac9188190bded2c31e969b63b completed March 14, 2026, 8:47 p.m.
NED2 Entity disambiguation (via description) batch_69b5c9dc6ca4819098d00e6c03edf56a completed March 14, 2026, 8:49 p.m.
Created at: March 12, 2026, 11:08 p.m.