Triple

T13768190
Position Surface form Disambiguated ID Type / Status
Subject Hrazdan River E330805 entity
Predicate flowsThrough P225 FINISHED
Object Argavand
Argavand is a settlement in Armenia situated along the Hrazdan River.
E1059854 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: Argavand | Statement: [Hrazdan River, flowsThrough, Argavand]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Argavand
Context triple: [Hrazdan River, flowsThrough, Argavand]
  • A. Arykanda
    Arykanda is an ancient Lycian city in southwestern Turkey, known for its well-preserved ruins including a theater, baths, and terraced structures overlooking a mountain valley.
  • B. Aryandes
    Aryandes was an Achaemenid Persian official who served as the first satrap (governor) of Egypt under King Cambyses II and later Darius I.
  • C. Arakhin
    Arakhin is a tractate of the Mishnah and Talmud that deals primarily with the laws of vows of valuation and consecration to the Temple.
  • D. Arandis
    Arandis is a small mining town in Namibia known primarily for its proximity to the Rossing uranium mine.
  • E. Akhras
    Akhras is a Syrian-origin family name best known for being the maiden surname of Asma al-Assad, the First Lady of Syria.
  • 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: Argavand
Triple: [Hrazdan River, flowsThrough, Argavand]
Generated description
Argavand is a settlement in Armenia situated along the Hrazdan River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Argavand
Target entity description: Argavand is a settlement in Armenia situated along the Hrazdan River.
  • A. Arykanda
    Arykanda is an ancient Lycian city in southwestern Turkey, known for its well-preserved ruins including a theater, baths, and terraced structures overlooking a mountain valley.
  • B. Aryandes
    Aryandes was an Achaemenid Persian official who served as the first satrap (governor) of Egypt under King Cambyses II and later Darius I.
  • C. Arakhin
    Arakhin is a tractate of the Mishnah and Talmud that deals primarily with the laws of vows of valuation and consecration to the Temple.
  • D. Arandis
    Arandis is a small mining town in Namibia known primarily for its proximity to the Rossing uranium mine.
  • E. Akhras
    Akhras is a Syrian-origin family name best known for being the maiden surname of Asma al-Assad, the First Lady of Syria.
  • 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_69d81c583b0081909e408a17db517a21 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0233ecc48190b934f085d2501eb1 completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7a866e7cc8190a0381f4469193b6e completed May 3, 2026, 7:56 p.m.
NEDg Description generation batch_69f7a9f5549c81908a1a0b080acc3396 completed May 3, 2026, 8:03 p.m.
NED2 Entity disambiguation (via description) batch_69f7aafceea881908737a3d7613db2d5 completed May 3, 2026, 8:07 p.m.
Created at: April 9, 2026, 10:10 p.m.