Triple

T2772709
Position Surface form Disambiguated ID Type / Status
Subject Corinth E61494 entity
Predicate colonized P14189 FINISHED
Object Ambracia
Ambracia was an ancient Greek city in Epirus that became an important regional center and later the capital of King Pyrrhus.
 E298182 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: Ambracia | Statement: [Corinth, colonized, Ambracia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ambracia
Context triple: [Corinth, colonized, Ambracia]
  • A. Ascra
    Ascra was an ancient village in Boeotia, Greece, best known as the hometown of the poet Hesiod.
  • B. Antium
    Antium was an ancient coastal town in Latium, Italy, notable as a resort and birthplace of several Roman emperors, including Caligula and Nero.
  • C. Pherae
    Pherae was an ancient Greek city in Thessaly known for its political influence and as the seat of the powerful tyrant Jason of Pherae.
  • D. Rhegium
    Rhegium was an important ancient Greek colony in southern Italy, located at the Strait of Messina and known for its strategic and commercial significance in Magna Graecia.
  • E. Clusium
    Clusium was an important ancient Etruscan city, known for its strategic location in central Italy and its significant role in early Roman history.
  • 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: Ambracia
Triple: [Corinth, colonized, Ambracia]
Generated description
Ambracia was an ancient Greek city in Epirus that became an important regional center and later the capital of King Pyrrhus.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ambracia
Target entity description: Ambracia was an ancient Greek city in Epirus that became an important regional center and later the capital of King Pyrrhus.
  • A. Ascra
    Ascra was an ancient village in Boeotia, Greece, best known as the hometown of the poet Hesiod.
  • B. Antium
    Antium was an ancient coastal town in Latium, Italy, notable as a resort and birthplace of several Roman emperors, including Caligula and Nero.
  • C. Pherae
    Pherae was an ancient Greek city in Thessaly known for its political influence and as the seat of the powerful tyrant Jason of Pherae.
  • D. Rhegium
    Rhegium was an important ancient Greek colony in southern Italy, located at the Strait of Messina and known for its strategic and commercial significance in Magna Graecia.
  • E. Clusium
    Clusium was an important ancient Etruscan city, known for its strategic location in central Italy and its significant role in early Roman history.
  • 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_69ab4b7cd13481909174bca9809ed259 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdd6b9cc48190bd9f7d8d33fe1ec1 completed March 7, 2026, 8:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc0553588819098d478b4aaa18478 completed March 10, 2026, 6:55 a.m.
NEDg Description generation batch_69afc1c74ecc8190ba8b9926ff28f24e completed March 10, 2026, 7:01 a.m.
NED2 Entity disambiguation (via description) batch_69afc2d5aecc81909ce90a7e891568c9 completed March 10, 2026, 7:05 a.m.
Created at: March 6, 2026, 9:57 p.m.