Triple

T2964160
Position Surface form Disambiguated ID Type / Status
Subject Amorgos E80120 entity
Predicate hasSettlement P1068 FINISHED
Object Lagada
Lagada is a small traditional village on the Greek island of Amorgos, known for its whitewashed houses, hillside setting, and views over the Aegean Sea.
 E314637 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: Lagada | Statement: [Amorgos, hasSettlement, Lagada]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lagada
Context triple: [Amorgos, hasSettlement, Lagada]
  • A. Laja
    Laja is a small Chilean city in the Biobío Region, known for its riverside setting and proximity to the Biobío River.
  • B. Barbalha
    Barbalha is a municipality in northeastern Brazil known for its traditional cultural festivals and location in the state of Ceará.
  • C. Lapa
    Lapa is a historic and bohemian neighborhood in Rio de Janeiro, Brazil, famous for its vibrant nightlife, samba clubs, and iconic aqueduct arches.
  • D. Andalgalá
    Andalgalá is a town in northwestern Argentina known for its mining activities and scenic location in the foothills of the Andes within Catamarca Province.
  • E. Boliqueime
    Boliqueime is a small village in Portugal’s Algarve region, known for its traditional charm and proximity to the coastal resorts near Loulé.
  • 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: Lagada
Triple: [Amorgos, hasSettlement, Lagada]
Generated description
Lagada is a small traditional village on the Greek island of Amorgos, known for its whitewashed houses, hillside setting, and views over the Aegean Sea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lagada
Target entity description: Lagada is a small traditional village on the Greek island of Amorgos, known for its whitewashed houses, hillside setting, and views over the Aegean Sea.
  • A. Laja
    Laja is a small Chilean city in the Biobío Region, known for its riverside setting and proximity to the Biobío River.
  • B. Barbalha
    Barbalha is a municipality in northeastern Brazil known for its traditional cultural festivals and location in the state of Ceará.
  • C. Lapa
    Lapa is a historic and bohemian neighborhood in Rio de Janeiro, Brazil, famous for its vibrant nightlife, samba clubs, and iconic aqueduct arches.
  • D. Andalgalá
    Andalgalá is a town in northwestern Argentina known for its mining activities and scenic location in the foothills of the Andes within Catamarca Province.
  • E. Boliqueime
    Boliqueime is a small village in Portugal’s Algarve region, known for its traditional charm and proximity to the coastal resorts near Loulé.
  • 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_69ad8b1341848190bd19dbf46892887d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9958b1e48190a77f37bf63333c5b completed March 8, 2026, 3:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69b0fc98d94481908282d21394dc24a7 completed March 11, 2026, 5:24 a.m.
NEDg Description generation batch_69b0fd07b82881908d52ab2db2f2e54c completed March 11, 2026, 5:26 a.m.
NED2 Entity disambiguation (via description) batch_69b0fdba0fd88190a2e760f1770e846c completed March 11, 2026, 5:29 a.m.
Created at: March 8, 2026, 2:58 p.m.