Triple

T13822063
Position Surface form Disambiguated ID Type / Status
Subject Pan-European Ecological Network E332160 entity
Predicate alsoKnownAs P39 FINISHED
Object PEEN
PEEN is a continent-wide ecological network initiative aimed at connecting and conserving natural habitats and biodiversity across Europe.
 E1063656 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: PEEN | Statement: [Pan-European Ecological Network, alsoKnownAs, PEEN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PEEN
Context triple: [Pan-European Ecological Network, alsoKnownAs, PEEN]
  • A. Pe
    Pe is a Hebrew consonant letter that represents a "p" or "f" sound and has both standard and final written forms.
  • B. PE5
    PE5 is a postcode district in the PE (Peterborough) postcode area of eastern England, covering a small rural region near Peterborough.
  • C. PEN
    PEN is an international writers’ organization dedicated to promoting literature and defending freedom of expression worldwide.
  • D. PEN
    PEN is the Peruvian sol, the official national currency of Peru.
  • E. PEN
    PEN is the three-letter IATA airport code for Penang International Airport in Malaysia.
  • 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: PEEN
Triple: [Pan-European Ecological Network, alsoKnownAs, PEEN]
Generated description
PEEN is a continent-wide ecological network initiative aimed at connecting and conserving natural habitats and biodiversity across Europe.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PEEN
Target entity description: PEEN is a continent-wide ecological network initiative aimed at connecting and conserving natural habitats and biodiversity across Europe.
  • A. Pe
    Pe is a Hebrew consonant letter that represents a "p" or "f" sound and has both standard and final written forms.
  • B. PE5
    PE5 is a postcode district in the PE (Peterborough) postcode area of eastern England, covering a small rural region near Peterborough.
  • C. PEN
    PEN is an international writers’ organization dedicated to promoting literature and defending freedom of expression worldwide.
  • D. PEN
    PEN is the Peruvian sol, the official national currency of Peru.
  • E. PEN
    PEN is the three-letter IATA airport code for Penang International Airport in Malaysia.
  • 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_69d81c5ae7c88190b0dd41bdafeb5999 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0284428081908043c55caeefb833 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8e60e1c81908d51d723e85e0541 completed May 3, 2026, 9:06 p.m.
NEDg Description generation batch_69f7b9d81f488190875e9b3f885556ab completed May 3, 2026, 9:10 p.m.
NED2 Entity disambiguation (via description) batch_69f7ba99ad9c8190906b6b63cf27a446 completed May 3, 2026, 9:14 p.m.
Created at: April 9, 2026, 10:12 p.m.