Triple

T5902691
Position Surface form Disambiguated ID Type / Status
Subject Lulworthiales E131264 entity
Predicate notableGenus P12304 FINISHED
Object Lindra
Lindra is a genus of marine fungi within the order Lulworthiales, known for inhabiting and decomposing submerged wood and plant debris in ocean environments.
 E554646 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: Lindra | Statement: [Lulworthiales, notableGenus, Lindra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lindra
Context triple: [Lulworthiales, notableGenus, Lindra]
  • A. Alinda
    Alinda was an important ancient city in the region of Caria in southwestern Anatolia, known for its strategic location and well-preserved Hellenistic ruins.
  • B. Nindra
    Nindra is a village and mandal in the Tirupati district of Andhra Pradesh, India.
  • C. Yelinda
    Yelinda is a dialect of the Bulu language spoken by a specific subgroup of Bulu speakers in Cameroon.
  • D. Arjona
    Arjona is a Spanish-origin surname shared by various notable individuals in fields such as entertainment, sports, and the arts.
  • E. Lahndi
    Lahndi is an Indo-Aryan language (or group of dialects) spoken primarily in western parts of Pakistan, often considered a dialect continuum between Punjabi and Sindhi.
  • 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: Lindra
Triple: [Lulworthiales, notableGenus, Lindra]
Generated description
Lindra is a genus of marine fungi within the order Lulworthiales, known for inhabiting and decomposing submerged wood and plant debris in ocean environments.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lindra
Target entity description: Lindra is a genus of marine fungi within the order Lulworthiales, known for inhabiting and decomposing submerged wood and plant debris in ocean environments.
  • A. Alinda
    Alinda was an important ancient city in the region of Caria in southwestern Anatolia, known for its strategic location and well-preserved Hellenistic ruins.
  • B. Nindra
    Nindra is a village and mandal in the Tirupati district of Andhra Pradesh, India.
  • C. Yelinda
    Yelinda is a dialect of the Bulu language spoken by a specific subgroup of Bulu speakers in Cameroon.
  • D. Arjona
    Arjona is a Spanish-origin surname shared by various notable individuals in fields such as entertainment, sports, and the arts.
  • E. Lahndi
    Lahndi is an Indo-Aryan language (or group of dialects) spoken primarily in western parts of Pakistan, often considered a dialect continuum between Punjabi and Sindhi.
  • 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_69c0085864a88190a569c05ff7d65f29 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03735e6f8819084eded3b45f5e4ed completed March 22, 2026, 6:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b166b0bc8190a201899cf45a9b31 completed March 23, 2026, 3:20 a.m.
NEDg Description generation batch_69c0b27438a08190ab6b72c8fd682bf6 completed March 23, 2026, 3:24 a.m.
NED2 Entity disambiguation (via description) batch_69c0b309a70081908ad3e819879b17e4 completed March 23, 2026, 3:27 a.m.
Created at: March 22, 2026, 3:58 p.m.