Triple

T7125647
Position Surface form Disambiguated ID Type / Status
Subject Neda River E166052 entity
Predicate namedAfter P63 FINISHED
Object Neda (nymph)
Neda is a nymph from Greek mythology associated with a river in the Peloponnese and often linked to nurturing and protective roles in local cult traditions.
 E644113 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: Neda (nymph) | Statement: [Neda River, namedAfter, Neda (nymph)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Neda (nymph)
Context triple: [Neda River, namedAfter, Neda (nymph)]
  • A. Alcione
    Alcione is the nickname of the Italian World War II-era Cant Z.1007 medium bomber aircraft.
  • B. Eunikē
    Eunikē is a variant form of the given name Eunice, which has Greek origins and is often associated with meanings related to victory or good triumph.
  • C. Erinome
    Erinome is a small, irregular, retrograde moon of Jupiter belonging to the planet’s outer group of distant satellites.
  • D. Lilaia of Phocis
    Lilaia of Phocis is an ancient Greek city in the region of Phocis, known from classical sources and associated with the sanctuary of the nymph Lilaia.
  • E. Pamona
    Pamona is an Austronesian language spoken by the Pamona people of Central Sulawesi, Indonesia.
  • 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: Neda (nymph)
Triple: [Neda River, namedAfter, Neda (nymph)]
Generated description
Neda is a nymph from Greek mythology associated with a river in the Peloponnese and often linked to nurturing and protective roles in local cult traditions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Neda (nymph)
Target entity description: Neda is a nymph from Greek mythology associated with a river in the Peloponnese and often linked to nurturing and protective roles in local cult traditions.
  • A. Alcione
    Alcione is the nickname of the Italian World War II-era Cant Z.1007 medium bomber aircraft.
  • B. Eunikē
    Eunikē is a variant form of the given name Eunice, which has Greek origins and is often associated with meanings related to victory or good triumph.
  • C. Erinome
    Erinome is a small, irregular, retrograde moon of Jupiter belonging to the planet’s outer group of distant satellites.
  • D. Lilaia of Phocis
    Lilaia of Phocis is an ancient Greek city in the region of Phocis, known from classical sources and associated with the sanctuary of the nymph Lilaia.
  • E. Pamona
    Pamona is an Austronesian language spoken by the Pamona people of Central Sulawesi, Indonesia.
  • 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_69c6888350588190870cd552b427a1cd completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e64d99888190a93c1822e19b5457 completed March 27, 2026, 8:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7a331ff988190886bde89035623c0 completed March 28, 2026, 9:45 a.m.
NEDg Description generation batch_69c7a46d95b88190bbadf3e8d1788489 completed March 28, 2026, 9:50 a.m.
NED2 Entity disambiguation (via description) batch_69c7a52e6a1c8190bf45e0aa7a920baf completed March 28, 2026, 9:53 a.m.
Created at: March 27, 2026, 2:44 p.m.