Triple

T36683840
Position Surface form Disambiguated ID Type / Status
Subject Saudi protected areas network E905762 entity
Predicate hasComponent P35 FINISHED
Object Al-Wajh Bank Protected Area
Al-Wajh Bank Protected Area is a marine and coastal conservation zone in Saudi Arabia recognized for its rich coral reefs, diverse marine life, and role in safeguarding Red Sea biodiversity.
 E2204179 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-Wajh Bank Protected Area | Statement: [Saudi protected areas network, hasComponent, Al-Wajh Bank Protected Area]
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-Wajh Bank Protected Area
Triple: [Saudi protected areas network, hasComponent, Al-Wajh Bank Protected Area]
Generated description
Al-Wajh Bank Protected Area is a marine and coastal conservation zone in Saudi Arabia recognized for its rich coral reefs, diverse marine life, and role in safeguarding Red Sea biodiversity.

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_69f76e7011dc819082b324f18b756a1b completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69f7c7c1cb7c8190a717019bd6635d96 completed May 3, 2026, 10:10 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3e160eebd4819092c5d47b24d4b291 completed June 26, 2026, 6:02 a.m.
NEDg Description generation batch_6a3e16a50d8c819094deb898cab90904 completed June 26, 2026, 6:05 a.m.
NED2 Entity disambiguation (via description) batch_6a3e1b4f74f48190b12de0f00e7ab8b9 completed June 26, 2026, 6:25 a.m.
Created at: May 3, 2026, 4:12 p.m.