Triple

T11540996
Position Surface form Disambiguated ID Type / Status
Subject Transformers: War for Cybertron E273672 entity
Predicate containsLocation P45140 FINISHED
Object Iacon
Iacon is a major city on the planet Cybertron in the Transformers universe, often depicted as the Autobots’ capital and primary stronghold.
 E931569 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: Iacon | Statement: [Transformers: War for Cybertron, containsLocation, Iacon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Iacon
Context triple: [Transformers: War for Cybertron, containsLocation, Iacon]
  • A. Ascra
    Ascra was an ancient village in Boeotia, Greece, best known as the hometown of the poet Hesiod.
  • B. Tosali
    Tosali was an ancient city that served as a major political and administrative center of the Kalinga kingdom in eastern India.
  • C. Aegium
    Aegium was an important ancient Greek city in the region of Achaea, known as a political and religious center, especially during the Hellenistic period.
  • D. Ambracia
    Ambracia was an ancient Greek city in Epirus that became an important regional center and later the capital of King Pyrrhus.
  • E. Maroneia
    Maroneia is an ancient Greek city in Thrace, near the northern Aegean coast, known historically for its wine production and strategic harbor.
  • 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: Iacon
Triple: [Transformers: War for Cybertron, containsLocation, Iacon]
Generated description
Iacon is a major city on the planet Cybertron in the Transformers universe, often depicted as the Autobots’ capital and primary stronghold.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Iacon
Target entity description: Iacon is a major city on the planet Cybertron in the Transformers universe, often depicted as the Autobots’ capital and primary stronghold.
  • A. Ascra
    Ascra was an ancient village in Boeotia, Greece, best known as the hometown of the poet Hesiod.
  • B. Tosali
    Tosali was an ancient city that served as a major political and administrative center of the Kalinga kingdom in eastern India.
  • C. Aegium
    Aegium was an important ancient Greek city in the region of Achaea, known as a political and religious center, especially during the Hellenistic period.
  • D. Ambracia
    Ambracia was an ancient Greek city in Epirus that became an important regional center and later the capital of King Pyrrhus.
  • E. Maroneia
    Maroneia is an ancient Greek city in Thrace, near the northern Aegean coast, known historically for its wine production and strategic harbor.
  • 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_69d6aae4dfa48190a3ab0b19a159a3c5 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d886deed5c81908e5c38156064f882 completed April 10, 2026, 5:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69e685ab77908190ac5d59cf2b8c96bf completed April 20, 2026, 7:59 p.m.
NEDg Description generation batch_69e68fd8210c8190a7b0bbd8a50ff6b1 completed April 20, 2026, 8:43 p.m.
NED2 Entity disambiguation (via description) batch_69e69f12cfcc8190a06e0922c9faa49e completed April 20, 2026, 9:48 p.m.
Created at: April 8, 2026, 9:37 p.m.