Triple
T5376321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | People's Army of Vietnam |
E108968
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
PAVN
PAVN is the military force of the Socialist Republic of Vietnam, historically known for its central role in the Vietnam War.
|
E516385
|
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: PAVN | Statement: [People's Army of Vietnam, shortName, PAVN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PAVN Context triple: [People's Army of Vietnam, shortName, PAVN]
-
A.
VANP
VANP is the ICAO airport code for Dr. Babasaheb Ambedkar International Airport in Nagpur, India.
-
B.
VA-11
VA-11 is the commonly used shorthand for Virginia's 11th congressional district, a U.S. House of Representatives district located in Northern Virginia.
-
C.
VA-01
VA-01 is the shorthand designation for Virginia's 1st congressional district, a U.S. House of Representatives district covering parts of eastern Virginia.
-
D.
RPVM
RPVM is the ICAO airport code for Mactan–Cebu International Airport in the Philippines.
-
E.
Pavas
Pavas is a populous urban district in the canton of San José, Costa Rica, known for its residential neighborhoods, commercial areas, and the Tobías Bolaños International Airport.
- 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: PAVN Triple: [People's Army of Vietnam, shortName, PAVN]
Generated description
PAVN is the military force of the Socialist Republic of Vietnam, historically known for its central role in the Vietnam War.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: PAVN Target entity description: PAVN is the military force of the Socialist Republic of Vietnam, historically known for its central role in the Vietnam War.
-
A.
VANP
VANP is the ICAO airport code for Dr. Babasaheb Ambedkar International Airport in Nagpur, India.
-
B.
VA-11
VA-11 is the commonly used shorthand for Virginia's 11th congressional district, a U.S. House of Representatives district located in Northern Virginia.
-
C.
VA-01
VA-01 is the shorthand designation for Virginia's 1st congressional district, a U.S. House of Representatives district covering parts of eastern Virginia.
-
D.
RPVM
RPVM is the ICAO airport code for Mactan–Cebu International Airport in the Philippines.
-
E.
Pavas
Pavas is a populous urban district in the canton of San José, Costa Rica, known for its residential neighborhoods, commercial areas, and the Tobías Bolaños International Airport.
- 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_69bd440c77948190aad2a5f39b7b80f5 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd86b08bf881909fa2e42c977d807a |
completed | March 20, 2026, 5:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf293f6458819091c32080782b56ed |
completed | March 21, 2026, 11:26 p.m. |
| NEDg | Description generation | batch_69bf2a23ba1881909ddc549728bbc2d3 |
completed | March 21, 2026, 11:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf2e6d5f9081908327dff0058241f0 |
completed | March 21, 2026, 11:49 p.m. |
Created at: March 20, 2026, 2:03 p.m.