Triple

T16490921
Position Surface form Disambiguated ID Type / Status
Subject Sermersooq municipality E400564 entity
Predicate contains P35 FINISHED
Object Arsuk
Arsuk is a small coastal settlement in southwestern Greenland known for its fishing activities and remote Arctic location.
E1216584 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: Arsuk | Statement: [Sermersooq municipality, contains, Arsuk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arsuk
Context triple: [Sermersooq municipality, contains, Arsuk]
  • A. Asarluhi
    Asarluhi is a Mesopotamian god associated with incantations, magic, and exorcism, later syncretized with the god Marduk.
  • B. Akhras
    Akhras is a Syrian-origin family name best known for being the maiden surname of Asma al-Assad, the First Lady of Syria.
  • C. Tharkûn
    Tharkûn is the name used by the Dwarves for Gandalf, one of the Istari wizards in J.R.R. Tolkien’s Middle-earth legendarium.
  • D. Arapgir
    Arapgir is a historic town and district in eastern Turkey known for its traditional architecture, cultural heritage, and scenic location within Malatya Province.
  • E. Ashkun
    Ashkun is a Nuristani language spoken by the Ashkun people in parts of eastern Afghanistan.
  • 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: Arsuk
Triple: [Sermersooq municipality, contains, Arsuk]
Generated description
Arsuk is a small coastal settlement in southwestern Greenland known for its fishing activities and remote Arctic location.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Arsuk
Target entity description: Arsuk is a small coastal settlement in southwestern Greenland known for its fishing activities and remote Arctic location.
  • A. Asarluhi
    Asarluhi is a Mesopotamian god associated with incantations, magic, and exorcism, later syncretized with the god Marduk.
  • B. Akhras
    Akhras is a Syrian-origin family name best known for being the maiden surname of Asma al-Assad, the First Lady of Syria.
  • C. Tharkûn
    Tharkûn is the name used by the Dwarves for Gandalf, one of the Istari wizards in J.R.R. Tolkien’s Middle-earth legendarium.
  • D. Arapgir
    Arapgir is a historic town and district in eastern Turkey known for its traditional architecture, cultural heritage, and scenic location within Malatya Province.
  • E. Ashkun
    Ashkun is a Nuristani language spoken by the Ashkun people in parts of eastern Afghanistan.
  • 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_69d883813098819084f5409539723b59 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e2f31f48190825af5934d976ab7 completed April 18, 2026, 7:09 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0058266b8c8190adc0974025553783 completed May 10, 2026, 10:04 a.m.
NEDg Description generation batch_6a0058919c148190b0fae3d33e62377f completed May 10, 2026, 10:06 a.m.
NED2 Entity disambiguation (via description) batch_6a0059da52dc8190ad1a4ed4a659be26 completed May 10, 2026, 10:11 a.m.
Created at: April 10, 2026, 5:13 a.m.