Triple

T38434053
Position Surface form Disambiguated ID Type / Status
Subject Musaylima E903885 entity
Predicate deathPlace P21 FINISHED
Object al-Yamama battlefield
The al-Yamama battlefield was the site of a major early Islamic battle during the Ridda Wars, where Muslim forces defeated the forces of the self-proclaimed prophet Musaylima in central Arabia.
E2269286 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: al-Yamama battlefield | Statement: [Musaylima, deathPlace, al-Yamama battlefield]
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: al-Yamama battlefield
Triple: [Musaylima, deathPlace, al-Yamama battlefield]
Generated description
The al-Yamama battlefield was the site of a major early Islamic battle during the Ridda Wars, where Muslim forces defeated the forces of the self-proclaimed prophet Musaylima in central Arabia.

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_69f76e6a2024819081aa04f4932f89d2 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69fccdb271248190bf1a4cbaa98e669f completed May 7, 2026, 5:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41c29489a48190babb81059e78f2fa completed June 29, 2026, 12:55 a.m.
NEDg Description generation batch_6a41c2fcd74881909c4259479301702a completed June 29, 2026, 12:57 a.m.
NED2 Entity disambiguation (via description) batch_6a41c3b0ec6c8190becf6b8f5287b129 completed June 29, 2026, 1 a.m.
Created at: May 3, 2026, 4:31 p.m.