Triple

T30905359
Position Surface form Disambiguated ID Type / Status
Subject Battle of Almansa E787282 entity
Predicate hasParticipant P149 FINISHED
Object Spanish Bourbon Army
The Spanish Bourbon Army was the military force loyal to the Bourbon claimant Philip V during the War of the Spanish Succession, playing a decisive role in securing Bourbon control over Spain.
E1935191 NE FINISHED

How this triple was built (2 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: Spanish Bourbon Army | Statement: [Battle of Almansa, hasParticipant, Spanish Bourbon Army]
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: Spanish Bourbon Army
Triple: [Battle of Almansa, hasParticipant, Spanish Bourbon Army]
Generated description
The Spanish Bourbon Army was the military force loyal to the Bourbon claimant Philip V during the War of the Spanish Succession, playing a decisive role in securing Bourbon control over Spain.

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_69f224bcbcb48190836df847424e4057 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f6927ecf6c81908f9a9b1380bc43fe completed May 3, 2026, 12:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a28c7f3a56c8190886cd2a315359c89 completed June 10, 2026, 2:12 a.m.
NEDg Description generation batch_6a28cafd0fec8190b5977e2cf669c9fe completed June 10, 2026, 2:25 a.m.
NED2 Entity disambiguation (via description) batch_6a28cb7c04548190bdf6d0e5b55ebe45 completed June 10, 2026, 2:27 a.m.
Created at: April 29, 2026, 8:50 p.m.