Triple

T6925291
Position Surface form Disambiguated ID Type / Status
Subject Drina E160289 entity
Predicate passesNear P416 FINISHED
Object Foča
Foča is a historic town in southeastern Bosnia and Herzegovina, known for its scenic setting near the Drina River and its significant role in regional history.
 E629800 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: Foča | Statement: [Drina, passesNear, Foča]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Foča
Context triple: [Drina, passesNear, Foča]
  • A. Fažana
    Fažana is a coastal town in Croatia’s Istria region, known for its fishing heritage, tourism, and historical ties to the Istriot language.
  • B. Fussa
    Fussa is a city in western Tokyo, Japan, known for hosting Yokota Air Base and various Japan Air Self-Defense Force facilities.
  • C. Žepa
    Žepa is a small town in eastern Bosnia and Herzegovina that became known as a UN-declared "safe area" and site of a tragic episode during the Bosnian War.
  • D. Franci
    Franci is a diminutive form of the Italian given name Francesca, often used as an affectionate nickname.
  • E. Fossanova
    Fossanova is a locality in central Italy known for giving its name to the nearby medieval Cistercian monastery, Fossanova Abbey.
  • 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: Foča
Triple: [Drina, passesNear, Foča]
Generated description
Foča is a historic town in southeastern Bosnia and Herzegovina, known for its scenic setting near the Drina River and its significant role in regional history.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Foča
Target entity description: Foča is a historic town in southeastern Bosnia and Herzegovina, known for its scenic setting near the Drina River and its significant role in regional history.
  • A. Fažana
    Fažana is a coastal town in Croatia’s Istria region, known for its fishing heritage, tourism, and historical ties to the Istriot language.
  • B. Fussa
    Fussa is a city in western Tokyo, Japan, known for hosting Yokota Air Base and various Japan Air Self-Defense Force facilities.
  • C. Žepa
    Žepa is a small town in eastern Bosnia and Herzegovina that became known as a UN-declared "safe area" and site of a tragic episode during the Bosnian War.
  • D. Franci
    Franci is a diminutive form of the Italian given name Francesca, often used as an affectionate nickname.
  • E. Fossanova
    Fossanova is a locality in central Italy known for giving its name to the nearby medieval Cistercian monastery, Fossanova Abbey.
  • 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_69c6884d350081908d8a970e4d40ad78 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6da18b6388190947dfc1eb9e5d382 completed March 27, 2026, 7:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7513fddd88190b99c4b7e3364d218 completed March 28, 2026, 3:55 a.m.
NEDg Description generation batch_69c7523737e48190b2ad3e7bea02878d completed March 28, 2026, 3:59 a.m.
NED2 Entity disambiguation (via description) batch_69c752eb3e1c8190bad35727e573c41f completed March 28, 2026, 4:02 a.m.
Created at: March 27, 2026, 2:26 p.m.