Triple

T19446377
Position Surface form Disambiguated ID Type / Status
Subject Province of Chieti E486488 entity
Predicate contains P35 FINISHED
Object Tollo
Tollo is a small Italian town in the Abruzzo region, noted for its wine production and scenic rural landscape.
E1376489 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: Tollo | Statement: [Province of Chieti, contains, Tollo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tollo
Context triple: [Province of Chieti, contains, Tollo]
  • A. Taloot
    Taloot is a coastal barangay of the municipality of Argao in Cebu, Philippines.
  • B. Atossa
    Atossa was a prominent Achaemenid Persian queen, daughter of Cyrus the Great and later wife of Darius I, who played a significant role in the early Persian Empire.
  • C. Tialo
    Tialo is an Austronesian language of the Tomini–Tolitoli subgroup spoken in Central Sulawesi, Indonesia.
  • D. Tolo
    Tolo is an alternative name for the Talise language, an Austronesian language spoken in the Solomon Islands.
  • E. Tolo
    Tolo is a coastal village and popular tourist resort in the Argolis region of the Peloponnese in Greece, known for its beaches and proximity to historic sites like Nafplio.
  • 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: Tollo
Triple: [Province of Chieti, contains, Tollo]
Generated description
Tollo is a small Italian town in the Abruzzo region, noted for its wine production and scenic rural landscape.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tollo
Target entity description: Tollo is a small Italian town in the Abruzzo region, noted for its wine production and scenic rural landscape.
  • A. Taloot
    Taloot is a coastal barangay of the municipality of Argao in Cebu, Philippines.
  • B. Atossa
    Atossa was a prominent Achaemenid Persian queen, daughter of Cyrus the Great and later wife of Darius I, who played a significant role in the early Persian Empire.
  • C. Tialo
    Tialo is an Austronesian language of the Tomini–Tolitoli subgroup spoken in Central Sulawesi, Indonesia.
  • D. Tolo
    Tolo is an alternative name for the Talise language, an Austronesian language spoken in the Solomon Islands.
  • E. Tolo
    Tolo is a coastal village and popular tourist resort in the Argolis region of the Peloponnese in Greece, known for its beaches and proximity to historic sites like Nafplio.
  • 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_69d8e8d7ad488190a3373045029b0f3b completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6338a22608190bb31a1690ca0dab6 completed April 20, 2026, 2:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a073b2d981081908b3e1f8220f36703 completed May 15, 2026, 3:26 p.m.
NEDg Description generation batch_6a073c43c77c81909b1fe5bf56393b77 completed May 15, 2026, 3:31 p.m.
NED2 Entity disambiguation (via description) batch_6a073cbbb65c81908a2bb8ad043bb34f completed May 15, 2026, 3:33 p.m.
Created at: April 10, 2026, 1:38 p.m.