Triple

T12779401
Position Surface form Disambiguated ID Type / Status
Subject River Liri E305463 entity
Predicate nameInItalian P17612 FINISHED
Object Liri
Liri is a river in central Italy that flows through the regions of Lazio and Campania before joining the Gari to form the Garigliano.
 E1002502 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: Liri | Statement: [River Liri, nameInItalian, Liri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Liri
Context triple: [River Liri, nameInItalian, Liri]
  • A. Yulu
    Yulu is a Central Sudanic language spoken by the Yulu people primarily in parts of South Sudan and the Central African Republic.
  • B. Lusei
    Lusei are a major clan of the Mizo people of Northeast India, historically influential in shaping Mizo culture, language, and social organization.
  • C. Liat
    Liat is a young Tonkinese woman in the Rodgers and Hammerstein musical "South Pacific," whose romantic relationship with an American lieutenant highlights the themes of love and cultural conflict.
  • D. Oizys
    Oizys is the Greek personification of misery, distress, and wretchedness, traditionally regarded as a dark and sorrowful deity.
  • E. Tianeti
    Tianeti is a small town and administrative center in eastern Georgia, situated in the mountainous Mtskheta-Mtianeti region.
  • 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: Liri
Triple: [River Liri, nameInItalian, Liri]
Generated description
Liri is a river in central Italy that flows through the regions of Lazio and Campania before joining the Gari to form the Garigliano.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Liri
Target entity description: Liri is a river in central Italy that flows through the regions of Lazio and Campania before joining the Gari to form the Garigliano.
  • A. Yulu
    Yulu is a Central Sudanic language spoken by the Yulu people primarily in parts of South Sudan and the Central African Republic.
  • B. Lusei
    Lusei are a major clan of the Mizo people of Northeast India, historically influential in shaping Mizo culture, language, and social organization.
  • C. Liat
    Liat is a young Tonkinese woman in the Rodgers and Hammerstein musical "South Pacific," whose romantic relationship with an American lieutenant highlights the themes of love and cultural conflict.
  • D. Oizys
    Oizys is the Greek personification of misery, distress, and wretchedness, traditionally regarded as a dark and sorrowful deity.
  • E. Tianeti
    Tianeti is a small town and administrative center in eastern Georgia, situated in the mountainous Mtskheta-Mtianeti region.
  • 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_69d7bdf2b43c819098ae5aa68e61ea58 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e5a5680819095dcd491486d23e7 completed April 10, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f685013e0481908db09302a2ced207 completed May 2, 2026, 11:13 p.m.
NEDg Description generation batch_69f6873e6d548190a7bf25746e740c8a completed May 2, 2026, 11:22 p.m.
NED2 Entity disambiguation (via description) batch_69f689aea1048190b1425f289d1a611a completed May 2, 2026, 11:33 p.m.
Created at: April 9, 2026, 5:29 p.m.