Triple

T28751361
Position Surface form Disambiguated ID Type / Status
Subject Chalcis in Coele-Syria E731535 entity
Predicate partOf P40 FINISHED
Object Eastern Mediterranean urban network
The Eastern Mediterranean urban network was a historically interconnected system of cities and trade centers around the eastern Mediterranean basin, linked by commerce, culture, and political relations.
 E1831061 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: Eastern Mediterranean urban network | Statement: [Chalcis in Coele-Syria, partOf, Eastern Mediterranean urban network]
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: Eastern Mediterranean urban network
Triple: [Chalcis in Coele-Syria, partOf, Eastern Mediterranean urban network]
Generated description
The Eastern Mediterranean urban network was a historically interconnected system of cities and trade centers around the eastern Mediterranean basin, linked by commerce, culture, and political relations.

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_69f043ed68a881909e858a06bab7a247 completed April 28, 2026, 5:21 a.m.
NER Named-entity recognition batch_69f657f653448190a945b4751af8507d completed May 2, 2026, 8 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1ccf727cb0819098c5a8d9b2db3ea7 completed June 1, 2026, 12:16 a.m.
NEDg Description generation batch_6a1cd03a4e008190916d590ecd6ef5d6 completed June 1, 2026, 12:20 a.m.
NED2 Entity disambiguation (via description) batch_6a2494722c7c8190b67b87014e4a2f0a completed June 6, 2026, 9:43 p.m.
Created at: April 28, 2026, 6:07 a.m.