Triple

T27930500
Position Surface form Disambiguated ID Type / Status
Subject Song–Liao conflicts E707965 entity
Predicate hasPart P35 FINISHED
Object Battle of Gaoliang River
The Battle of Gaoliang River was an early 10th-century clash between the Song dynasty and the Khitan Liao dynasty near modern Beijing that helped shape the balance of power in northern China.
E1838066 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: Battle of Gaoliang River | Statement: [Song–Liao conflicts, hasPart, Battle of Gaoliang River]
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: Battle of Gaoliang River
Triple: [Song–Liao conflicts, hasPart, Battle of Gaoliang River]
Generated description
The Battle of Gaoliang River was an early 10th-century clash between the Song dynasty and the Khitan Liao dynasty near modern Beijing that helped shape the balance of power in northern China.

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_69ef96bbf2c48190a9d0e0291457aab6 completed April 27, 2026, 5:02 p.m.
NER Named-entity recognition batch_69f63a9c5a448190b739a79523610bfd completed May 2, 2026, 5:55 p.m.
NED1 Entity disambiguation (via context triple) batch_6a24d3d5594481909fdeae18386ba396 completed June 7, 2026, 2:13 a.m.
NEDg Description generation batch_6a24d8a7ef3c819084ae4a614edace9b completed June 7, 2026, 2:34 a.m.
NED2 Entity disambiguation (via description) batch_6a24d901847c8190bde79e92232f03b0 completed June 7, 2026, 2:35 a.m.
Created at: April 27, 2026, 7:02 p.m.