Triple

T1249865
Position Surface form Disambiguated ID Type / Status
Subject Pyrgi Tablets E26849 entity
Predicate discoveredAt P3985 FINISHED
Object Pyrgi
Pyrgi was an ancient Etruscan port town, notable as a major religious and commercial center on the Tyrrhenian coast of Italy.
 E144877 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: Pyrgi | Statement: [Pyrgi Tablets, discoveredAt, Pyrgi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pyrgi
Context triple: [Pyrgi Tablets, discoveredAt, Pyrgi]
  • A. Pyrgos
    Pyrgos is a town in western Greece that serves as the capital of Elis and a regional hub near the Alfeios River and the archaeological site of Olympia.
  • B. Pserimos
    Pserimos is a small Greek island in the southeastern Aegean Sea, known for its quiet beaches and traditional village life.
  • C. Phaestis
    Phaestis is known in some ancient biographical traditions as the mother of the Greek philosopher Aristotle.
  • D. Benthesikyme
    Benthesikyme is a minor sea goddess in Greek mythology, known primarily as a daughter of Poseidon.
  • E. Dictys
    Dictys is a fisherman and brother of King Polydectes in Greek mythology who discovers and shelters Perseus and his mother Danaë after they wash ashore.
  • 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: Pyrgi
Triple: [Pyrgi Tablets, discoveredAt, Pyrgi]
Generated description
Pyrgi was an ancient Etruscan port town, notable as a major religious and commercial center on the Tyrrhenian coast of Italy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pyrgi
Target entity description: Pyrgi was an ancient Etruscan port town, notable as a major religious and commercial center on the Tyrrhenian coast of Italy.
  • A. Pyrgos
    Pyrgos is a town in western Greece that serves as the capital of Elis and a regional hub near the Alfeios River and the archaeological site of Olympia.
  • B. Pserimos
    Pserimos is a small Greek island in the southeastern Aegean Sea, known for its quiet beaches and traditional village life.
  • C. Phaestis
    Phaestis is known in some ancient biographical traditions as the mother of the Greek philosopher Aristotle.
  • D. Benthesikyme
    Benthesikyme is a minor sea goddess in Greek mythology, known primarily as a daughter of Poseidon.
  • E. Dictys
    Dictys is a fisherman and brother of King Polydectes in Greek mythology who discovers and shelters Perseus and his mother Danaë after they wash ashore.
  • 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_69a49487a9c48190ba9b05348fd1b53f completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4bf83b32c81908648e5748b897247 completed March 1, 2026, 10:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac997e7e8c8190a9f9d79a8ec1f574 completed March 7, 2026, 9:32 p.m.
NEDg Description generation batch_69ac9a48b71c819082b75fa0a2e7a22e completed March 7, 2026, 9:36 p.m.
NED2 Entity disambiguation (via description) batch_69ac9a8b15848190a94b697f74c0baea completed March 7, 2026, 9:37 p.m.
Created at: March 1, 2026, 7:47 p.m.