Triple

T16572358
Position Surface form Disambiguated ID Type / Status
Subject Caietanus E402618 entity
Predicate relatedForm P21674 FINISHED
Object Caieta
Caieta is an ancient coastal town in Latium, Italy—modern Gaeta—known from Roman times as a notable harbor and resort.
E1221365 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: Caieta | Statement: [Caietanus, relatedForm, Caieta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Caieta
Context triple: [Caietanus, relatedForm, Caieta]
  • A. Ocós
    Ocós is a coastal municipality in southwestern Guatemala known for its Pacific beaches and fishing activities.
  • B. Aitona
    Aitona is a municipality in the Segrià comarca of Catalonia, Spain, known for its extensive fruit orchards, especially peach and nectarine production.
  • C. Cabreta
    Cabreta is a medieval Catalan noble family name most notably borne by the 10th–11th century count Oliba Cabreta of Cerdanya and Besalú.
  • D. 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.
  • E. Cayastá
    Cayastá is a small town in Argentina’s Santa Fe Province known for its proximity to the historic Santa Fe La Vieja archaeological site, which preserves the remains of one of the region’s earliest Spanish settlements.
  • 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: Caieta
Triple: [Caietanus, relatedForm, Caieta]
Generated description
Caieta is an ancient coastal town in Latium, Italy—modern Gaeta—known from Roman times as a notable harbor and resort.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Caieta
Target entity description: Caieta is an ancient coastal town in Latium, Italy—modern Gaeta—known from Roman times as a notable harbor and resort.
  • A. Ocós
    Ocós is a coastal municipality in southwestern Guatemala known for its Pacific beaches and fishing activities.
  • B. Aitona
    Aitona is a municipality in the Segrià comarca of Catalonia, Spain, known for its extensive fruit orchards, especially peach and nectarine production.
  • C. Cabreta
    Cabreta is a medieval Catalan noble family name most notably borne by the 10th–11th century count Oliba Cabreta of Cerdanya and Besalú.
  • D. 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.
  • E. Cayastá
    Cayastá is a small town in Argentina’s Santa Fe Province known for its proximity to the historic Santa Fe La Vieja archaeological site, which preserves the remains of one of the region’s earliest Spanish settlements.
  • 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_69d8838648088190acf97ef11fc3f61b completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e35959f1748190934b263d6bc94143 completed April 18, 2026, 10:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a006ee8812c81908ef74636bf39d44a completed May 10, 2026, 11:41 a.m.
NEDg Description generation batch_6a0070024cb4819092ee0ce1320f0905 completed May 10, 2026, 11:46 a.m.
NED2 Entity disambiguation (via description) batch_6a00707959a081909fc04947624abbe5 completed May 10, 2026, 11:48 a.m.
Created at: April 10, 2026, 5:16 a.m.