Triple
T14341573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PPDP |
E355616
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | PPDP |
E355616
|
NE FINISHED |
How this triple was built (2 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: PPDP | Statement: [PPDP, hasAbbreviation, PPDP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PPDP Context triple: [PPDP, hasAbbreviation, PPDP]
-
A.
PPDP
chosen
PPDP (Principles and Practice of Declarative Programming) is an international academic conference focused on research in declarative programming languages and related paradigms.
-
B.
DDPS
DDPS is the commonly used abbreviation for Switzerland’s Federal Department of Defence, Civil Protection and Sport, the federal ministry responsible for national defense, emergency management, and sports policy.
-
C.
DPP
DPP (Device Provisioning Protocol) is a Wi‑Fi Alliance standard that simplifies and secures the process of adding new devices to a Wi‑Fi network without requiring traditional passwords.
-
D.
DPP
DPP is the Maryland state agency responsible for supervising individuals on parole and probation and supporting their reintegration into the community.
-
E.
DPP
DPP is a centrist political party in Japan known for advocating moderate economic reforms and pragmatic policy positions.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d8278fa2108190bc0d0e7939c1eb03 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8e87febc8190a63c668cbd0fd713 |
completed | April 14, 2026, 6:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd469bc538819099ed5b7061cf140d |
completed | May 8, 2026, 2:12 a.m. |
Created at: April 10, 2026, 1:14 a.m.