Triple
T1975466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walney Wind Farm |
E42899
|
entity |
| Predicate | owner |
P347
|
FINISHED |
| Object |
PFA
PFA is a Danish pension fund that invests in large infrastructure projects such as offshore wind farms.
|
E222424
|
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: PFA | Statement: [Walney Wind Farm, owner, PFA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PFA Context triple: [Walney Wind Farm, owner, PFA]
-
A.
PIF
PIF is a regional intergovernmental organization that brings together Pacific island countries and territories to cooperate on political, economic, and security issues.
-
B.
PaF
PaF is a Portuguese centre-right political coalition formed by the Social Democratic Party and the CDS – People's Party to contest national elections.
-
C.
CAF
CAF is a Spanish multinational company that designs and manufactures railway vehicles and related transport equipment used by metro systems worldwide.
-
D.
CAF
CAF is the commonly used abbreviation for the Chief of Air Force, the professional head of an air force service.
-
E.
CAF
CAF is the Confederation of African Football, the governing body for association football in Africa and one of FIFA’s six continental confederations.
- 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: PFA Triple: [Walney Wind Farm, owner, PFA]
Generated description
PFA is a Danish pension fund that invests in large infrastructure projects such as offshore wind farms.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: PFA Target entity description: PFA is a Danish pension fund that invests in large infrastructure projects such as offshore wind farms.
-
A.
PIF
PIF is a regional intergovernmental organization that brings together Pacific island countries and territories to cooperate on political, economic, and security issues.
-
B.
PaF
PaF is a Portuguese centre-right political coalition formed by the Social Democratic Party and the CDS – People's Party to contest national elections.
-
C.
CAF
CAF is a Spanish multinational company that designs and manufactures railway vehicles and related transport equipment used by metro systems worldwide.
-
D.
CAF
CAF is the commonly used abbreviation for the Chief of Air Force, the professional head of an air force service.
-
E.
CAF
CAF is the Confederation of African Football, the governing body for association football in Africa and one of FIFA’s six continental confederations.
- 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_69a8871289048190b00b0d7744b7b2b1 |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb3f835108190b0709ccf3a487a96 |
completed | March 7, 2026, 5:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae0327600c8190adb057b596a84bca |
completed | March 8, 2026, 11:15 p.m. |
| NEDg | Description generation | batch_69ae03b41dcc81909b4439006bdffc64 |
completed | March 8, 2026, 11:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae044314188190a7472cf5f8e89f6c |
completed | March 8, 2026, 11:20 p.m. |
Created at: March 4, 2026, 7:36 p.m.