Triple

T13753496
Position Surface form Disambiguated ID Type / Status
Subject Lycian League E330414 entity
Predicate hasMember P10 FINISHED
Object Krinthos
Krinthos was an ancient city-state that belonged to the Lycian League, a federal union of cities in the region of Lycia in southwestern Anatolia.
 E1061683 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: Krinthos | Statement: [Lycian League, hasMember, Krinthos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Krinthos
Context triple: [Lycian League, hasMember, Krinthos]
  • A. Korthia
    Korthia is a mysterious, lore-rich fragment of the Shadowlands known as the City of Secrets, introduced in World of Warcraft’s Chains of Domination update.
  • B. Vromonas
    Vromonas is a small Greek island that forms part of the Echinades archipelago in the Ionian Sea.
  • C. Kyrros
    Kyrros is an ancient city in northern Syria, historically significant as a Hellenistic and later Roman settlement known for its strategic location and military importance.
  • D. Thrylos
    Thrylos is the popular nickname of Greek football club Olympiacos FC, reflecting its legendary status and storied success.
  • E. Teurnia
    Teurnia was an important ancient Roman city that served as a major administrative and cultural center in the province of Noricum, located in what is now southern Austria.
  • 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: Krinthos
Triple: [Lycian League, hasMember, Krinthos]
Generated description
Krinthos was an ancient city-state that belonged to the Lycian League, a federal union of cities in the region of Lycia in southwestern Anatolia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Krinthos
Target entity description: Krinthos was an ancient city-state that belonged to the Lycian League, a federal union of cities in the region of Lycia in southwestern Anatolia.
  • A. Korthia
    Korthia is a mysterious, lore-rich fragment of the Shadowlands known as the City of Secrets, introduced in World of Warcraft’s Chains of Domination update.
  • B. Vromonas
    Vromonas is a small Greek island that forms part of the Echinades archipelago in the Ionian Sea.
  • C. Kyrros
    Kyrros is an ancient city in northern Syria, historically significant as a Hellenistic and later Roman settlement known for its strategic location and military importance.
  • D. Thrylos
    Thrylos is the popular nickname of Greek football club Olympiacos FC, reflecting its legendary status and storied success.
  • E. Teurnia
    Teurnia was an important ancient Roman city that served as a major administrative and cultural center in the province of Noricum, located in what is now southern Austria.
  • 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_69d81c573f288190aa2403d484fa3d49 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0215cfa08190aaed8b089aff217b completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b06d9fd48190a10b86a0d68fac70 completed May 3, 2026, 8:30 p.m.
NEDg Description generation batch_69f7b11b824881909ed068c7d608d956 completed May 3, 2026, 8:33 p.m.
NED2 Entity disambiguation (via description) batch_69f7b1e0ab948190a046a68aa5e029a6 completed May 3, 2026, 8:36 p.m.
Created at: April 9, 2026, 10:09 p.m.