Triple

T25479362
Position Surface form Disambiguated ID Type / Status
Subject Hill 60 Memorial E638520 entity
Predicate nearbyMemorials P136177 FINISHED
Object Caterpillar Crater
Caterpillar Crater is a large World War I mine crater near Hill 60 in Ypres, Belgium, preserved as a memorial to the soldiers who fought and died there.
 E1678502 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: Caterpillar Crater | Statement: [Hill 60 Memorial, nearbyMemorials, Caterpillar Crater]
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: Caterpillar Crater
Triple: [Hill 60 Memorial, nearbyMemorials, Caterpillar Crater]
Generated description
Caterpillar Crater is a large World War I mine crater near Hill 60 in Ypres, Belgium, preserved as a memorial to the soldiers who fought and died there.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: nearbyMemorials
Context triple: [Hill 60 Memorial, nearbyMemorials, Caterpillar Crater]
  • A. hasNearbyMemorials chosen
    Indicates that one or more memorials are located in close physical proximity to the referenced entity.
  • B. commemoratesNearby
    Indicates that one entity serves to honor or memorialize something located in close physical proximity to it.
  • C. nearbyTomb
    Indicates that one entity is located close to or in the immediate vicinity of a tomb.
  • D. nearbyCemetery
    Indicates that one entity is located close to or in the immediate vicinity of a cemetery.
  • E. nearbyMonumentDedication
    Indicates that a monument located close to a given reference point has been formally dedicated, typically in honor of a person, event, or concept.
  • 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_69e75dbabeac8190bab30628f8b799d4 completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f67f0488bc819089fbd2d2478158d3 completed May 2, 2026, 10:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1089c103e08190bc070fe0a69ed905 completed May 22, 2026, 4:52 p.m.
NEDg Description generation batch_6a108a67fc908190926977f4e65dba0b completed May 22, 2026, 4:55 p.m.
NED2 Entity disambiguation (via description) batch_6a108afb4ad08190a1e9bcd731d98fcb completed May 22, 2026, 4:57 p.m.
PD Predicate disambiguation batch_69f67e3ed894819094c067c1ef624951 completed May 2, 2026, 10:44 p.m.
Created at: April 21, 2026, 2:30 p.m.