Triple

T17066166
Position Surface form Disambiguated ID Type / Status
Subject Gulf of Gabès E414093 entity
Predicate hasCityOnCoast P969 FINISHED
Object Mahres
Mahres is a coastal town in eastern Tunisia situated along the Gulf of Gabès.
 E1248029 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: Mahres | Statement: [Gulf of Gabès, hasCityOnCoast, Mahres]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mahres
Context triple: [Gulf of Gabès, hasCityOnCoast, Mahres]
  • A. Mahser
    Mahser is a character associated with youth, often depicted as embodying the traits, energy, and challenges of young people.
  • B. Hartha
    Hartha is a small town in the German state of Saxony, known for its location within the rural region of Mittelsachsen.
  • C. Mella
    Mella is a Spanish-language surname most notably associated with Cuban revolutionary leader Julio Antonio Mella.
  • D. Mahas
    Mahas is an alternative name for the Nobiin language, a Nubian language spoken primarily along the Nile in southern Egypt and northern Sudan.
  • E. Morshi
    Morshi is a town in the Amravati district of Maharashtra, India, known primarily as an agricultural and local trading center.
  • 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: Mahres
Triple: [Gulf of Gabès, hasCityOnCoast, Mahres]
Generated description
Mahres is a coastal town in eastern Tunisia situated along the Gulf of Gabès.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mahres
Target entity description: Mahres is a coastal town in eastern Tunisia situated along the Gulf of Gabès.
  • A. Mahser
    Mahser is a character associated with youth, often depicted as embodying the traits, energy, and challenges of young people.
  • B. Hartha
    Hartha is a small town in the German state of Saxony, known for its location within the rural region of Mittelsachsen.
  • C. Mella
    Mella is a Spanish-language surname most notably associated with Cuban revolutionary leader Julio Antonio Mella.
  • D. Mahas
    Mahas is an alternative name for the Nobiin language, a Nubian language spoken primarily along the Nile in southern Egypt and northern Sudan.
  • E. Morshi
    Morshi is a town in the Amravati district of Maharashtra, India, known primarily as an agricultural and local trading center.
  • 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_69d886cde3d481908d4d01ba88ba7eb7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3db8171348190ab68d2e4f05f7120 completed April 18, 2026, 7:29 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0123509e1481908cfc304b02fe8632 completed May 11, 2026, 12:31 a.m.
NEDg Description generation batch_6a012533f9a8819096ab9b821c848dd2 completed May 11, 2026, 12:39 a.m.
NED2 Entity disambiguation (via description) batch_6a0125dead2481908a5c26bda5a7cd1f completed May 11, 2026, 12:42 a.m.
Created at: April 10, 2026, 5:34 a.m.