Triple

T10940873
Position Surface form Disambiguated ID Type / Status
Subject Tunceli Province E258466 entity
Predicate hasDistrict P459 FINISHED
Object Pülümür
Pülümür is a rural district and town in eastern Turkey known for its mountainous terrain, rivers, and predominantly Alevi Kurdish population.
 E895343 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: Pülümür | Statement: [Tunceli Province, hasDistrict, Pülümür]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pülümür
Context triple: [Tunceli Province, hasDistrict, Pülümür]
  • A. Puldin
    Puldin is a historical name for the ancient city of Philippopolis, located in present-day Plovdiv, Bulgaria.
  • B. Pitiüses
    The Pitiüses are a small Mediterranean archipelago comprising the Spanish Balearic Islands of Ibiza and Formentera and their surrounding islets.
  • C. Ormur
    Ormur is a lesser-known Eastern Iranian language spoken primarily by the Ormur people in parts of Afghanistan and Pakistan.
  • D. Porul
    Porul is the second section of the ancient Tamil classic Tirukkural, focusing on ethics, governance, politics, and social conduct.
  • E. Pulaar
    Pulaar is a Fula language variety spoken primarily by the Fula (Fulani) people across West Africa, including in Mauritania, Senegal, and neighboring countries.
  • 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: Pülümür
Triple: [Tunceli Province, hasDistrict, Pülümür]
Generated description
Pülümür is a rural district and town in eastern Turkey known for its mountainous terrain, rivers, and predominantly Alevi Kurdish population.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pülümür
Target entity description: Pülümür is a rural district and town in eastern Turkey known for its mountainous terrain, rivers, and predominantly Alevi Kurdish population.
  • A. Puldin
    Puldin is a historical name for the ancient city of Philippopolis, located in present-day Plovdiv, Bulgaria.
  • B. Pitiüses
    The Pitiüses are a small Mediterranean archipelago comprising the Spanish Balearic Islands of Ibiza and Formentera and their surrounding islets.
  • C. Ormur
    Ormur is a lesser-known Eastern Iranian language spoken primarily by the Ormur people in parts of Afghanistan and Pakistan.
  • D. Porul
    Porul is the second section of the ancient Tamil classic Tirukkural, focusing on ethics, governance, politics, and social conduct.
  • E. Pulaar
    Pulaar is a Fula language variety spoken primarily by the Fula (Fulani) people across West Africa, including in Mauritania, Senegal, and neighboring countries.
  • 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_69d6aa8769b4819082bfe5e61b9017f0 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770c2821c8190a7b08276c4bfbf33 completed April 9, 2026, 9:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69e23c0e940081908c84ea4cf3b877fc completed April 17, 2026, 1:56 p.m.
NEDg Description generation batch_69e24541cbb481908f14a9cb2787c118 completed April 17, 2026, 2:35 p.m.
NED2 Entity disambiguation (via description) batch_69e248f48dc88190af9491e8cdc4a532 completed April 17, 2026, 2:51 p.m.
Created at: April 8, 2026, 9:23 p.m.