Triple

T2993113
Position Surface form Disambiguated ID Type / Status
Subject Ancyra E81002 entity
Predicate knownAs P39 FINISHED
Object Ἄγκυρα
Ἄγκυρα is the ancient Greek name for the city historically known as Ancyra, which later became Ankara, the capital of modern Turkey.
 E317474 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: Ἄγκυρα | Statement: [Ancyra, knownAs, Ἄγκυρα]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ἄγκυρα
Context triple: [Ancyra, knownAs, Ἄγκυρα]
  • A. Navarino Island
    Navarino Island is a remote Chilean island in the Tierra del Fuego archipelago, known for its rugged subantarctic landscapes and status as one of the southernmost inhabited places in the world.
  • B. Antipaxos
    Antipaxos is a small Greek island in the Ionian Sea, known for its crystal-clear waters, sandy beaches, and vineyards.
  • C. Amorgos
    Amorgos is a Greek island in the Cyclades known for its dramatic cliffs, clear blue waters, and traditional whitewashed villages.
  • D. Leros
    Leros is a Greek island in the southeastern Aegean Sea, known for its natural harbors, World War II history, and traditional villages.
  • E. Anholt
    Anholt is a small Danish island in the Kattegat Sea known for its extensive desert-like heathland and remote, sparsely populated landscape.
  • 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: Ἄγκυρα
Triple: [Ancyra, knownAs, Ἄγκυρα]
Generated description
Ἄγκυρα is the ancient Greek name for the city historically known as Ancyra, which later became Ankara, the capital of modern Turkey.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ἄγκυρα
Target entity description: Ἄγκυρα is the ancient Greek name for the city historically known as Ancyra, which later became Ankara, the capital of modern Turkey.
  • A. Navarino Island
    Navarino Island is a remote Chilean island in the Tierra del Fuego archipelago, known for its rugged subantarctic landscapes and status as one of the southernmost inhabited places in the world.
  • B. Antipaxos
    Antipaxos is a small Greek island in the Ionian Sea, known for its crystal-clear waters, sandy beaches, and vineyards.
  • C. Amorgos
    Amorgos is a Greek island in the Cyclades known for its dramatic cliffs, clear blue waters, and traditional whitewashed villages.
  • D. Leros
    Leros is a Greek island in the southeastern Aegean Sea, known for its natural harbors, World War II history, and traditional villages.
  • E. Anholt
    Anholt is a small Danish island in the Kattegat Sea known for its extensive desert-like heathland and remote, sparsely populated landscape.
  • 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_69ad8b187fc8819085914d3c9ea3142d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad99e12c5c8190af7cc20e4c48bf45 completed March 8, 2026, 3:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b109061684819086777d3b871c94f8 completed March 11, 2026, 6:17 a.m.
NEDg Description generation batch_69b1196399e881908887513a3bdf7f98 completed March 11, 2026, 7:27 a.m.
NED2 Entity disambiguation (via description) batch_69b119d306208190b53b059f0ff57712 completed March 11, 2026, 7:29 a.m.
Created at: March 8, 2026, 2:59 p.m.