Triple
T4686117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parliament of the World’s Religions |
E103924
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
PWR
PWR is a global interfaith organization that convenes leaders and followers of diverse religious and spiritual traditions to promote dialogue, understanding, and cooperation for peace and justice.
|
E459936
|
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: PWR | Statement: [Parliament of the World’s Religions, abbreviation, PWR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PWR Context triple: [Parliament of the World’s Religions, abbreviation, PWR]
-
A.
PWr
PWr is the commonly used abbreviation for Wrocław University of Science and Technology, a major technical university in Wrocław, Poland.
-
B.
PW
PW is the commonly used nickname of P. W. Botha, the former South African prime minister and state president during the apartheid era.
-
C.
PW
PW is the commonly used abbreviation for the Warsaw University of Technology, one of Poland’s leading technical universities.
-
D.
PW
PW is the ISO 3166-1 alpha-2 country code for the Pacific island nation of Palau.
-
E.
POWER1
POWER1 is IBM’s first-generation 32-bit RISC microprocessor architecture used in early RS/6000 workstations and servers.
- 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: PWR Triple: [Parliament of the World’s Religions, abbreviation, PWR]
Generated description
PWR is a global interfaith organization that convenes leaders and followers of diverse religious and spiritual traditions to promote dialogue, understanding, and cooperation for peace and justice.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: PWR Target entity description: PWR is a global interfaith organization that convenes leaders and followers of diverse religious and spiritual traditions to promote dialogue, understanding, and cooperation for peace and justice.
-
A.
PWr
PWr is the commonly used abbreviation for Wrocław University of Science and Technology, a major technical university in Wrocław, Poland.
-
B.
PW
PW is the commonly used abbreviation for the Warsaw University of Technology, one of Poland’s leading technical universities.
-
C.
PW
PW is the commonly used nickname of P. W. Botha, the former South African prime minister and state president during the apartheid era.
-
D.
PW
PW is the ISO 3166-1 alpha-2 country code for the Pacific island nation of Palau.
-
E.
POWER1
POWER1 is IBM’s first-generation 32-bit RISC microprocessor architecture used in early RS/6000 workstations and servers.
- 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_69bd43debbf08190b4bc372e286ec234 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd6383c83881908a978e471fe422a2 |
completed | March 20, 2026, 3:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be03b3b0208190bb307cdd53f44306 |
completed | March 21, 2026, 2:34 a.m. |
| NEDg | Description generation | batch_69be0440e7c881908743b7af9b2fa347 |
completed | March 21, 2026, 2:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be04e21df88190b98ed7b3e27b818c |
completed | March 21, 2026, 2:39 a.m. |
Created at: March 20, 2026, 1:16 p.m.