Triple

T26635298
Position Surface form Disambiguated ID Type / Status
Subject Wümme E668618 entity
Predicate formsMouthWith P169238 FINISHED
Object Hamme
Hamme is a river in northern Germany that joins with the Wümme to form the Lesum near Bremen.
E1735127 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: Hamme | Statement: [Wümme, formsMouthWith, Hamme]
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: Hamme
Triple: [Wümme, formsMouthWith, Hamme]
Generated description
Hamme is a river in northern Germany that joins with the Wümme to form the Lesum near Bremen.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: formsMouthWith
Context triple: [Wümme, formsMouthWith, Hamme]
  • A. mouthFormation
    Indicates the specific shape or configuration the mouth takes while producing a sound or expression.
  • B. fromMouth
    Indicates that something originates from or is emitted out of a mouth.
  • C. mouthNear
    Indicates that one entity’s mouth is positioned close to another entity or object in space.
  • D. mouthDirection
    Indicates the orientation or facing direction of a mouth relative to a reference frame or another object.
  • E. hasTypeOfMouth
    Indicates that an entity possesses a mouth characterized by a specific type or form.
  • F. None of above. chosen

Provenance (7 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_69ee9d0024b8819090a7c8cf669a3b6c completed April 26, 2026, 11:17 p.m.
NER Named-entity recognition batch_69f67d691a948190afa7fb19ae7d4ac5 completed May 2, 2026, 10:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a11ec3a6a388190a46048dbe6564a4d completed May 23, 2026, 6:04 p.m.
NEDg Description generation batch_6a11ed8f691081908dc4eeb38b8a56cd completed May 23, 2026, 6:10 p.m.
NED2 Entity disambiguation (via description) batch_6a11ee308af88190b08944270a2fd1d8 completed May 23, 2026, 6:13 p.m.
PD Predicate disambiguation batch_69f678cc272081909e5c70f1bc7407f0 completed May 2, 2026, 10:21 p.m.
PDg Predicate description generation batch_69f67c9ec1708190b26ccf402ed7b106 completed May 2, 2026, 10:37 p.m.
Created at: April 27, 2026, 2:27 a.m.