Triple
T2947901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ACM Workshop on Privacy in the Electronic Society |
E79545
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
WPES
WPES is the ACM Workshop on Privacy in the Electronic Society, a leading academic forum for research on privacy and security issues in digital environments.
|
E313126
|
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: WPES | Statement: [ACM Workshop on Privacy in the Electronic Society, abbreviation, WPES]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WPES Context triple: [ACM Workshop on Privacy in the Electronic Society, abbreviation, WPES]
-
A.
WCP
WCP is the abbreviation for the World Climate Programme, an international initiative focused on understanding and addressing global climate variability and change.
-
B.
WPN
WPN is the station code used to identify White Plains station in transportation and scheduling systems.
-
C.
WPN
WPN is the vehicle registration code assigned to the town of Płońsk in Poland.
-
D.
WPPT
WPPT is an international treaty administered by WIPO that grants and harmonizes intellectual property rights for performers and producers of phonograms in the digital environment.
-
E.
WPK
WPK is the ruling communist party of North Korea that dominates the country’s political system and state ideology.
- 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: WPES Triple: [ACM Workshop on Privacy in the Electronic Society, abbreviation, WPES]
Generated description
WPES is the ACM Workshop on Privacy in the Electronic Society, a leading academic forum for research on privacy and security issues in digital environments.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: WPES Target entity description: WPES is the ACM Workshop on Privacy in the Electronic Society, a leading academic forum for research on privacy and security issues in digital environments.
-
A.
WCP
WCP is the abbreviation for the World Climate Programme, an international initiative focused on understanding and addressing global climate variability and change.
-
B.
WPN
WPN is the station code used to identify White Plains station in transportation and scheduling systems.
-
C.
WPN
WPN is the vehicle registration code assigned to the town of Płońsk in Poland.
-
D.
WPPT
WPPT is an international treaty administered by WIPO that grants and harmonizes intellectual property rights for performers and producers of phonograms in the digital environment.
-
E.
WPK
WPK is the ruling communist party of North Korea that dominates the country’s political system and state ideology.
- 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_69ad8b1089588190b74d9e2505e45762 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad98b5916c8190b1163bf0b7fa136a |
completed | March 8, 2026, 3:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b08695bea08190abce552493abda57 |
completed | March 10, 2026, 9:01 p.m. |
| NEDg | Description generation | batch_69b0d4d08d688190888459d7d4fbd8d4 |
completed | March 11, 2026, 2:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b0d5567e488190b5eee8a494433ae4 |
completed | March 11, 2026, 2:37 a.m. |
Created at: March 8, 2026, 2:57 p.m.