Triple
T8580338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Office of the Vice President of the Philippines |
E203156
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
OVP
OVP is the government office that supports and carries out the official duties and functions of the Vice President of the Philippines.
|
E743392
|
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: OVP | Statement: [Office of the Vice President of the Philippines, abbreviation, OVP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OVP Context triple: [Office of the Vice President of the Philippines, abbreviation, OVP]
-
A.
OVL
OVL is the three-letter National Rail station code used to identify Oval Underground Station on London's public transport network.
-
B.
OPH
OPH is an abbreviation commonly used for Old Parliament House, the historic former seat of the Australian Parliament in Canberra.
-
C.
OPP
OPP is a division within the Technology Transformation Services focused on managing and delivering digital products and programs across the U.S. federal government.
-
D.
OPU
OPU is the central executive office that supports and coordinates the work of the President of Ukraine.
-
E.
AVP
AVP is the three-letter IATA airport code for Wilkes-Barre/Scranton International Airport in Pennsylvania, USA.
- 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: OVP Triple: [Office of the Vice President of the Philippines, abbreviation, OVP]
Generated description
OVP is the government office that supports and carries out the official duties and functions of the Vice President of the Philippines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: OVP Target entity description: OVP is the government office that supports and carries out the official duties and functions of the Vice President of the Philippines.
-
A.
OVL
OVL is the three-letter National Rail station code used to identify Oval Underground Station on London's public transport network.
-
B.
OPH
OPH is an abbreviation commonly used for Old Parliament House, the historic former seat of the Australian Parliament in Canberra.
-
C.
OPP
OPP is a division within the Technology Transformation Services focused on managing and delivering digital products and programs across the U.S. federal government.
-
D.
OPU
OPU is the central executive office that supports and coordinates the work of the President of Ukraine.
-
E.
AVP
AVP is the three-letter IATA airport code for Wilkes-Barre/Scranton International Airport in Pennsylvania, USA.
- 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_69ca8328ebe481909a8c038fa79959b4 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbeb1a026c819089183f542eeb7837 |
completed | March 31, 2026, 3:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce89ae87f08190b83bc539e1d4eeaa |
completed | April 2, 2026, 3:22 p.m. |
| NEDg | Description generation | batch_69ce8d6ce1788190bab10eb05d3ccd2e |
completed | April 2, 2026, 3:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce8e0ea1608190af74d0e49f149454 |
completed | April 2, 2026, 3:41 p.m. |
Created at: March 30, 2026, 6:22 p.m.