Triple

T29414310
Position Surface form Disambiguated ID Type / Status
Subject Mappa Mundi E745981 entity
Predicate depicttype P9800 FINISHED
Object T-O map
A T-O map is a medieval schematic world map that divides the known world into three continents—Asia, Europe, and Africa—separated by a "T" of water within an enclosing "O" of ocean.
 E1866513 NE FINISHED

How this triple was built (3 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: T-O map | Statement: [Mappa Mundi, depicttype, T-O map]
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: T-O map
Triple: [Mappa Mundi, depicttype, T-O map]
Generated description
A T-O map is a medieval schematic world map that divides the known world into three continents—Asia, Europe, and Africa—separated by a "T" of water within an enclosing "O" of ocean.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: depicttype
Context triple: [Mappa Mundi, depicttype, T-O map]
  • A. depictionType chosen
    Indicates the specific manner or style in which something is visually represented or depicted.
  • B. depicts
    Indicates that one entity visually represents, portrays, or shows another entity.
  • C. depictsCharacterType
    Indicates that one entity visually represents or portrays a character of a specified type or role.
  • D. depictionDetail
    Indicates that one depiction provides additional detail, refinement, or a closer view of what is shown in another depiction.
  • E. typicallyDepicts
    Indicates that one entity is most commonly or characteristically portrayed or represented by the other in depictions or images.
  • F. None of above.

Provenance (6 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_69f0a79f6d5c8190a350baed0157e06f completed April 28, 2026, 12:27 p.m.
NER Named-entity recognition batch_69f7308a096081909d66a56f3c926806 completed May 3, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_6a25d9209b9c81909f09270b3263ee81 completed June 7, 2026, 8:48 p.m.
NEDg Description generation batch_6a25dd222bd08190a914da64e42bc349 completed June 7, 2026, 9:05 p.m.
NED2 Entity disambiguation (via description) batch_6a25e1389e288190a3dda8cf6942d448 completed June 7, 2026, 9:23 p.m.
PD Predicate disambiguation batch_69f72a00c5f081908b6539d15baf4e12 completed May 3, 2026, 10:57 a.m.
Created at: April 28, 2026, 2:59 p.m.