Triple

T10439833
Position Surface form Disambiguated ID Type / Status
Subject Noli Me Tangere E246137 entity
Predicate containsWord P6841 FINISHED
Object Tangere
Tangere is a Latin verb meaning "to touch," famously used in the biblical phrase "Noli me tangere" ("Do not touch me").
E863086 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: Tangere | Statement: [Noli Me Tangere, containsWord, Tangere]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tangere
Context triple: [Noli Me Tangere, containsWord, Tangere]
  • A. Tengatangi
    Tengatangi is a small village settlement located on the island of Atiu in the Cook Islands.
  • B. Taygi
    Taygi is a lesser-known Samoyedic language of the Uralic family traditionally spoken by an indigenous group in northern Siberia.
  • C. Tiba
    Tiba is a modern planned city in Egypt’s Luxor Governorate, developed to accommodate population growth and support regional economic and urban expansion.
  • D. Sepetiba
    Sepetiba is a coastal neighborhood in Rio de Janeiro known for its bay, fishing activities, and industrial port area.
  • E. Tucheim
    Tucheim is a village and former municipality that is now part of the town of Genthin in the German state of Saxony-Anhalt.
  • 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: Tangere
Triple: [Noli Me Tangere, containsWord, Tangere]
Generated description
Tangere is a Latin verb meaning "to touch," famously used in the biblical phrase "Noli me tangere" ("Do not touch me").
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tangere
Target entity description: Tangere is a Latin verb meaning "to touch," famously used in the biblical phrase "Noli me tangere" ("Do not touch me").
  • A. Tengatangi
    Tengatangi is a small village settlement located on the island of Atiu in the Cook Islands.
  • B. Taygi
    Taygi is a lesser-known Samoyedic language of the Uralic family traditionally spoken by an indigenous group in northern Siberia.
  • C. Tiba
    Tiba is a modern planned city in Egypt’s Luxor Governorate, developed to accommodate population growth and support regional economic and urban expansion.
  • D. Sepetiba
    Sepetiba is a coastal neighborhood in Rio de Janeiro known for its bay, fishing activities, and industrial port area.
  • E. Tucheim
    Tucheim is a village and former municipality that is now part of the town of Genthin in the German state of Saxony-Anhalt.
  • 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_69d381bf3dc08190bf35a2643e4e8f22 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4fb9d3a888190bf490b004a16c3ee completed April 7, 2026, 12:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d87ed6edd88190afd5063daba58a46 completed April 10, 2026, 4:38 a.m.
NEDg Description generation batch_69d8837f98e08190bbffa535f94daf48 completed April 10, 2026, 4:58 a.m.
NED2 Entity disambiguation (via description) batch_69d889d0e70c8190953d164f34f01e47 completed April 10, 2026, 5:25 a.m.
Created at: April 6, 2026, 12:15 p.m.