Triple

T36817617
Position Surface form Disambiguated ID Type / Status
Subject Eastern Tigray Zone E909787 entity
Predicate hasHistoricalSite P1098 FINISHED
Object Hawzen area churches
Hawzen area churches are a group of historic rock-hewn and traditional churches in northern Ethiopia renowned for their ancient architecture, religious significance, and preserved wall paintings.
E2200209 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: Hawzen area churches | Statement: [Eastern Tigray Zone, hasHistoricalSite, Hawzen area churches]
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: Hawzen area churches
Triple: [Eastern Tigray Zone, hasHistoricalSite, Hawzen area churches]
Generated description
Hawzen area churches are a group of historic rock-hewn and traditional churches in northern Ethiopia renowned for their ancient architecture, religious significance, and preserved wall paintings.

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_69f76e7dd13c81908c60b05adb49eeb5 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69f7ca9591e48190a5a5bdb5d72ae4b3 completed May 3, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3dde6128a08190a808e7d44a0aa1f3 completed June 26, 2026, 2:05 a.m.
NEDg Description generation batch_6a3ddf4cb9d88190b82672a6cda7a723 completed June 26, 2026, 2:09 a.m.
NED2 Entity disambiguation (via description) batch_6a3de5dae0c08190a55ef51f1367a8d7 completed June 26, 2026, 2:37 a.m.
Created at: May 3, 2026, 4:13 p.m.