Triple
T8123421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PP |
E189662
|
entity |
| Predicate | hasOfficialAbbreviation |
P8075
|
FINISHED |
| Object | PP |
unclear NED1
|
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: PP | Statement: [PP, hasOfficialAbbreviation, PP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PP Context triple: [PP, hasOfficialAbbreviation, PP]
-
A.
PP
The ITU Plenipotentiary Conference (PP) is the top policy-making body of the International Telecommunication Union, where member states set the Union’s general policies, strategic direction, and leadership.
-
B.
PP
PP is the commonly used abbreviation for Poznań University of Technology, a major technical university located in Poznań, Poland.
-
C.
PP
PP is the common abbreviation for Pemuda Pancasila, an Indonesian nationalist paramilitary youth organization known for its political influence and controversial role in the country’s history.
-
D.
PP
PP is the common abbreviation for the Préfecture de police de Paris, the main police authority responsible for law enforcement and public safety in Paris and its surrounding area.
-
E.
PP
PP is the commonly used abbreviation for the People's Party, a major conservative political party in Spain.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69ca82bb74848190afb1f18640632c10 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb438bcb988190b58eff8616ac4073 |
completed | March 31, 2026, 3:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc9462e0e88190b34333144e0f741c |
completed | April 1, 2026, 3:43 a.m. |
Created at: March 30, 2026, 5:33 p.m.