Triple

T1788123
Position Surface form Disambiguated ID Type / Status
Subject Kültepe E39434 entity
Predicate hasAncientName P20952 FINISHED
Object Neša
Neša is the ancient name of the city of Kültepe, a major Bronze Age trading center and early Hittite capital in central Anatolia.
 E199137 NE FINISHED

How this triple was built (4 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: Neša | Statement: [Kültepe, hasAncientName, Neša]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Neša
Context triple: [Kültepe, hasAncientName, Neša]
  • A. Marić
    Marić is the Serbian family name of Mileva Marić, a pioneering physicist and mathematician known for her association with Albert Einstein.
  • B. Mihajlo
    Mihajlo is the Serbian given name of Michael I. Pupin, the renowned Serbian-American physicist, inventor, and Columbia University professor.
  • C. Dragaš
    Dragaš is a Serbian medieval noble family name most notably borne by Helena Dragaš, the Byzantine empress and mother of the last Byzantine emperor, Constantine XI Palaiologos.
  • D. Čáslav
    Čáslav is a historic town in the Czech Republic known for its medieval architecture and location in the fertile Elbe lowlands.
  • E. Ružić
    Ružić is a South Slavic surname of Croatian and Serbian origin borne by various notable individuals.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Neša
Triple: [Kültepe, hasAncientName, Neša]
Generated description
Neša is the ancient name of the city of Kültepe, a major Bronze Age trading center and early Hittite capital in central Anatolia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Neša
Target entity description: Neša is the ancient name of the city of Kültepe, a major Bronze Age trading center and early Hittite capital in central Anatolia.
  • A. Marić
    Marić is the Serbian family name of Mileva Marić, a pioneering physicist and mathematician known for her association with Albert Einstein.
  • B. Mihajlo
    Mihajlo is the Serbian given name of Michael I. Pupin, the renowned Serbian-American physicist, inventor, and Columbia University professor.
  • C. Dragaš
    Dragaš is a Serbian medieval noble family name most notably borne by Helena Dragaš, the Byzantine empress and mother of the last Byzantine emperor, Constantine XI Palaiologos.
  • D. Čáslav
    Čáslav is a historic town in the Czech Republic known for its medieval architecture and location in the fertile Elbe lowlands.
  • E. Ružić
    Ružić is a South Slavic surname of Croatian and Serbian origin borne by various notable individuals.
  • F. None of above. chosen

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_69a88631854081909723959921e45c2b completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa650fd3448190a6a2c979db982cae completed March 6, 2026, 5:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada9a8a69c8190885bf06a06d3869f completed March 8, 2026, 4:54 p.m.
NEDg Description generation batch_69adaab488ec81909a340aab4916b90f completed March 8, 2026, 4:58 p.m.
NED2 Entity disambiguation (via description) batch_69adaf3cd23081909dd27c5de8e3f6d2 completed March 8, 2026, 5:17 p.m.
Created at: March 4, 2026, 7:32 p.m.