Triple

T15292471
Position Surface form Disambiguated ID Type / Status
Subject Line 1 (Turin Metro) E365560 entity
Predicate extendedTo P1673 FINISHED
Object Bengasi
Bengasi is a metro station on the Turin Metro system in Turin, Italy.
E1148699 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: Bengasi | Statement: [Line 1 (Turin Metro), extendedTo, Bengasi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bengasi
Context triple: [Line 1 (Turin Metro), extendedTo, Bengasi]
  • A. Marsa Matruh
    Marsa Matruh is a coastal city in northwestern Egypt on the Mediterranean Sea, known as a popular summer resort and gateway to nearby beaches and historical sites.
  • B. Ismailia
    Ismailia is a city in northeastern Egypt on the west bank of the Suez Canal, known for its strategic location, colonial-era architecture, and role as an administrative center for the canal zone.
  • C. Sirte, Libya
    Sirte, Libya is a coastal city on the Mediterranean Sea that gained international prominence as Muammar Gaddafi’s final stronghold and the site of his death during the 2011 Libyan civil war.
  • D. Tripoli
    Tripoli was a historic American shipyard and port city involved in constructing naval vessels such as the USS Intrepid.
  • E. Tripoli
    Tripoli is a historic Mediterranean port city that serves as the capital and largest urban center of Libya.
  • 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: Bengasi
Triple: [Line 1 (Turin Metro), extendedTo, Bengasi]
Generated description
Bengasi is a metro station on the Turin Metro system in Turin, Italy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bengasi
Target entity description: Bengasi is a metro station on the Turin Metro system in Turin, Italy.
  • A. Marsa Matruh
    Marsa Matruh is a coastal city in northwestern Egypt on the Mediterranean Sea, known as a popular summer resort and gateway to nearby beaches and historical sites.
  • B. Ismailia
    Ismailia is a city in northeastern Egypt on the west bank of the Suez Canal, known for its strategic location, colonial-era architecture, and role as an administrative center for the canal zone.
  • C. Sirte, Libya
    Sirte, Libya is a coastal city on the Mediterranean Sea that gained international prominence as Muammar Gaddafi’s final stronghold and the site of his death during the 2011 Libyan civil war.
  • D. Tripoli
    Tripoli is a historic Mediterranean port city that serves as the capital and largest urban center of Libya.
  • E. Tripoli
    Tripoli is a historic city in the central Peloponnese of Greece that serves as the main urban and administrative center of the Arcadia 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_69d85a103d9081908c1ea6c4c73ac8e3 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03680b60c8190a3ea54a9d34c8105 completed April 16, 2026, 1:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69feef7f2fc08190937226dad5fdc9c6 completed May 9, 2026, 8:25 a.m.
NEDg Description generation batch_69fef20cdf108190a871a862187b692d completed May 9, 2026, 8:36 a.m.
NED2 Entity disambiguation (via description) batch_69fef2763790819093f76786c5be01df completed May 9, 2026, 8:38 a.m.
Created at: April 10, 2026, 3:15 a.m.