Triple

T27241285
Position Surface form Disambiguated ID Type / Status
Subject Tell Tayinat E687213 entity
Predicate alsoKnownAs P39 FINISHED
Object Tell Tayinat Höyük
Tell Tayinat Höyük is an important archaeological mound in southeastern Turkey, known for its remains of an Iron Age Neo-Hittite city and earlier Bronze Age settlements.
 E1764182 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: Tell Tayinat Höyük | Statement: [Tell Tayinat, alsoKnownAs, Tell Tayinat Höyük]
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: Tell Tayinat Höyük
Triple: [Tell Tayinat, alsoKnownAs, Tell Tayinat Höyük]
Generated description
Tell Tayinat Höyük is an important archaeological mound in southeastern Turkey, known for its remains of an Iron Age Neo-Hittite city and earlier Bronze Age settlements.

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_69ef355547408190b5ca0d777c65040a completed April 27, 2026, 10:07 a.m.
NER Named-entity recognition batch_69f6267dd89c8190980652e0ceb9b896 completed May 2, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1262794a9c8190b313f712af71018f completed May 24, 2026, 2:29 a.m.
NEDg Description generation batch_6a12686ad9cc8190a4c36c60d8d99104 completed May 24, 2026, 2:54 a.m.
NED2 Entity disambiguation (via description) batch_6a126901467481909e689c279e3516c1 completed May 24, 2026, 2:57 a.m.
Created at: April 27, 2026, 10:37 a.m.