Triple

T16036857
Position Surface form Disambiguated ID Type / Status
Subject canton of Ham E388989 entity
Predicate containsAdministrativeTerritory P15909 FINISHED
Object Pithon
Pithon is a small commune in northern France located within the administrative area of the canton of Ham.
 E1190707 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: Pithon | Statement: [canton of Ham, containsAdministrativeTerritory, Pithon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pithon
Context triple: [canton of Ham, containsAdministrativeTerritory, Pithon]
  • A. Thoth
    Thoth is the ancient Egyptian god of writing, wisdom, magic, and the moon, often depicted as an ibis-headed scribe of the gods.
  • B. Sphinx
    Sphinx is a taciturn, highly skilled mechanic and member of the car-stealing crew in the film "Gone in 60 Seconds."
  • C. Sphinx
    Sphinx is a documentation generation tool that converts reStructuredText (and other formats) into HTML, PDF, and other outputs, widely used for Python projects and technical documentation.
  • D. Sphinx
    The Sphinx is a mythical creature, typically depicted with a lion's body and a human head, known for posing deadly riddles to travelers in Greek mythology.
  • E. Psiri
    Psiri is a lively historic neighborhood in central Athens known for its vibrant nightlife, traditional tavernas, and artistic atmosphere.
  • 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: Pithon
Triple: [canton of Ham, containsAdministrativeTerritory, Pithon]
Generated description
Pithon is a small commune in northern France located within the administrative area of the canton of Ham.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pithon
Target entity description: Pithon is a small commune in northern France located within the administrative area of the canton of Ham.
  • A. Thoth
    Thoth is the ancient Egyptian god of writing, wisdom, magic, and the moon, often depicted as an ibis-headed scribe of the gods.
  • B. Sphinx
    Sphinx is a taciturn, highly skilled mechanic and member of the car-stealing crew in the film "Gone in 60 Seconds."
  • C. Sphinx
    The Sphinx is a mythical creature, typically depicted with a lion's body and a human head, known for posing deadly riddles to travelers in Greek mythology.
  • D. Sphinx
    Sphinx is a documentation generation tool that converts reStructuredText (and other formats) into HTML, PDF, and other outputs, widely used for Python projects and technical documentation.
  • E. Psiri
    Psiri is a lively historic neighborhood in central Athens known for its vibrant nightlife, traditional tavernas, and artistic atmosphere.
  • 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_69d86dada3808190825d5f80d72fbe88 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1833ca66881909475fac23e6fbf86 completed April 17, 2026, 12:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffdbd3a1248190ad055892cebde5f0 completed May 10, 2026, 1:13 a.m.
NEDg Description generation batch_69ffdc5fd30c8190aaf66482f24285b4 completed May 10, 2026, 1:16 a.m.
NED2 Entity disambiguation (via description) batch_69ffdd0392e08190af42a0cdc5dd4c1f completed May 10, 2026, 1:18 a.m.
Created at: April 10, 2026, 4:56 a.m.