Triple

T28496674
Position Surface form Disambiguated ID Type / Status
Subject Nagar E721123 entity
Predicate wasRegionalCenterFor P117896 FINISHED
Object Khabur plains
The Khabur plains are a fertile region in northeastern Syria, historically significant as a cradle of early urban civilization and agriculture along the Khabur River.
 E1821033 NE FINISHED

How this triple was built (3 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: Khabur plains | Statement: [Nagar, wasRegionalCenterFor, Khabur plains]
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: Khabur plains
Triple: [Nagar, wasRegionalCenterFor, Khabur plains]
Generated description
The Khabur plains are a fertile region in northeastern Syria, historically significant as a cradle of early urban civilization and agriculture along the Khabur River.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: wasRegionalCenterFor
Context triple: [Nagar, wasRegionalCenterFor, Khabur plains]
  • A. hadRegionalCenter
    Indicates that an entity possessed, operated, or was associated with a specific regional center serving a defined geographic area.
  • B. servesAsRegionalCenterFor chosen
    Indicates that one entity functions as the primary administrative, economic, or service hub for a surrounding region or group of entities.
  • C. isScientificCenterFor
    Indicates that one entity serves as a primary location or institution dedicated to conducting, coordinating, or supporting scientific research, education, or activities related to another entity.
  • D. hasRegionCenter
    Indicates that a region is associated with a specific central point or location that serves as its geometric or administrative center.
  • E. hasRegionalCenterNearby
    Indicates that a regional center is located in close proximity to the referenced entity.
  • F. None of above.

Provenance (6 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_69f01a5afdac8190ac6e72d5c100bd58 completed April 28, 2026, 2:24 a.m.
NER Named-entity recognition batch_69f652a492108190b885b955ce147d3c completed May 2, 2026, 7:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1641a8b4a4819082651fede397db44 completed May 27, 2026, 12:58 a.m.
NEDg Description generation batch_6a1643779a088190aa92b219ec7ffb02 completed May 27, 2026, 1:05 a.m.
NED2 Entity disambiguation (via description) batch_6a1644006d7c81909a240ee75ce9d3d0 completed May 27, 2026, 1:08 a.m.
PD Predicate disambiguation batch_69f651aad92c8190b874b3b5f9f64434 completed May 2, 2026, 7:34 p.m.
Created at: April 28, 2026, 3:04 a.m.