Triple

T33112750
Position Surface form Disambiguated ID Type / Status
Subject Bruinen E847372 entity
Predicate hasFord P7735 FINISHED
Object Ford of Bruinen
The Ford of Bruinen is a shallow river crossing on the Bruinen near Rivendell in J.R.R. Tolkien’s Middle-earth, famed as the site where Elrond’s flood foiled the Nazgûl pursuing Frodo.
 E2036999 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: Ford of Bruinen | Statement: [Bruinen, hasFord, Ford of Bruinen]
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: Ford of Bruinen
Triple: [Bruinen, hasFord, Ford of Bruinen]
Generated description
The Ford of Bruinen is a shallow river crossing on the Bruinen near Rivendell in J.R.R. Tolkien’s Middle-earth, famed as the site where Elrond’s flood foiled the Nazgûl pursuing Frodo.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasFord
Context triple: [Bruinen, hasFord, Ford of Bruinen]
  • A. usedFordPlatformsFor
    Indicates that something (such as a tool, technology, or component) is employed specifically for building, supporting, or operating Ford-related platforms.
  • B. hasCarConstructor
    Indicates that an entity is associated with a specific car constructor (manufacturer or builder) responsible for producing its car.
  • C. hasVehicleFeature
    Indicates that a vehicle possesses, includes, or is equipped with a specific feature or characteristic.
  • D. hasVehicle chosen
    Indicates that one entity possesses, owns, or is assigned a vehicle.
  • E. hasConceptVehicle
    Indicates that an entity is associated with or involves a particular vehicle concept (e.g., as its subject, example, or focus).
  • 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_69f3495751a081909850af5843da40dc completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69fd884cb2b48190b6acd473430d9e19 completed May 8, 2026, 6:53 a.m.
NED1 Entity disambiguation (via context triple) batch_6a34f036b9748190a04d852afc32832e completed June 19, 2026, 7:31 a.m.
NEDg Description generation batch_6a35096e8df88190bdcef1c40e0be327 completed June 19, 2026, 9:18 a.m.
NED2 Entity disambiguation (via description) batch_6a351087c81c8190aa98a4dd05da8f86 completed June 19, 2026, 9:48 a.m.
PD Predicate disambiguation batch_69fd8709ca208190a8bab836f0156af5 completed May 8, 2026, 6:47 a.m.
Created at: May 1, 2026, 1:27 a.m.