Triple

T10327944
Position Surface form Disambiguated ID Type / Status
Subject Quenya E242806 entity
Predicate hasNotableText P7250 FINISHED
Object Markirya
Markirya is a Quenya-language poem by J.R.R. Tolkien, notable for its vivid, apocalyptic seascape imagery and its place in his legendarium’s linguistic corpus.
E856154 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: Markirya | Statement: [Quenya, hasNotableText, Markirya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Markirya
Context triple: [Quenya, hasNotableText, Markirya]
  • A. Ngaraard State
    Ngaraard State is one of the states of Palau, located on the island of Babeldaob and known for its traditional villages and coastal landscapes.
  • B. Manouria
    Manouria is a genus of large, primarily Asian tortoises known for including some of the most primitive living tortoise species.
  • C. Kharas
    Kharas is a Palestinian village located in the Hebron Governorate in the southern West Bank.
  • D. Kamorta
    Kamorta is a significant inhabited island and settlement in India’s Nicobar archipelago, known for its strategic location and indigenous Nicobarese communities.
  • E. Jabriya
    Jabriya is a residential suburb in Kuwait known for its mix of apartment buildings, schools, and local shops within the Hawalli Governorate.
  • 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: Markirya
Triple: [Quenya, hasNotableText, Markirya]
Generated description
Markirya is a Quenya-language poem by J.R.R. Tolkien, notable for its vivid, apocalyptic seascape imagery and its place in his legendarium’s linguistic corpus.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Markirya
Target entity description: Markirya is a Quenya-language poem by J.R.R. Tolkien, notable for its vivid, apocalyptic seascape imagery and its place in his legendarium’s linguistic corpus.
  • A. Ngaraard State
    Ngaraard State is one of the states of Palau, located on the island of Babeldaob and known for its traditional villages and coastal landscapes.
  • B. Manouria
    Manouria is a genus of large, primarily Asian tortoises known for including some of the most primitive living tortoise species.
  • C. Kharas
    Kharas is a Palestinian village located in the Hebron Governorate in the southern West Bank.
  • D. Kamorta
    Kamorta is a significant inhabited island and settlement in India’s Nicobar archipelago, known for its strategic location and indigenous Nicobarese communities.
  • E. Jabriya
    Jabriya is a residential suburb in Kuwait known for its mix of apartment buildings, schools, and local shops within the Hawalli Governorate.
  • 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_69d381af787481908bc401325c760a88 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d7cf21e08190bf605daeea0d9dcf completed April 7, 2026, 10:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71dafa9308190ae0d3c34ba0c58b1 completed April 9, 2026, 3:31 a.m.
NEDg Description generation batch_69d73189d7cc8190b81bb30994b3900f completed April 9, 2026, 4:56 a.m.
NED2 Entity disambiguation (via description) batch_69d7329891688190b5c1ec5906728f01 completed April 9, 2026, 5:01 a.m.
Created at: April 6, 2026, 11:51 a.m.