Triple
T322776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saigon |
E6450
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object |
Prey Nokor
Prey Nokor was a historic Khmer port city that later developed into the Vietnamese metropolis now known as Ho Chi Minh City (formerly Saigon).
|
E41497
|
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: Prey Nokor | Statement: [Saigon, formerName, Prey Nokor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Prey Nokor Context triple: [Saigon, formerName, Prey Nokor]
-
A.
Fampyra
Fampyra is a prescription medication (prolonged-release fampridine) used to improve walking in adults with multiple sclerosis.
-
B.
Kassaman
Kassaman is the national anthem of Algeria, known for its revolutionary lyrics that honor the struggle for independence from French colonial rule.
-
C.
Thieu
Thieu is the family name of Nguyen Van Thieu, the South Vietnamese general and president during the Vietnam War.
-
D.
Khmer
Khmer is the Austroasiatic language spoken primarily in Cambodia, where it serves as the official and most widely used national language.
-
E.
Kaiyukan
Kaiyukan is a large, world-renowned public aquarium in Osaka, Japan, famous for its massive central tank and immersive marine life exhibits.
- 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: Prey Nokor Triple: [Saigon, formerName, Prey Nokor]
Generated description
Prey Nokor was a historic Khmer port city that later developed into the Vietnamese metropolis now known as Ho Chi Minh City (formerly Saigon).
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Prey Nokor Target entity description: Prey Nokor was a historic Khmer port city that later developed into the Vietnamese metropolis now known as Ho Chi Minh City (formerly Saigon).
-
A.
Fampyra
Fampyra is a prescription medication (prolonged-release fampridine) used to improve walking in adults with multiple sclerosis.
-
B.
Kassaman
Kassaman is the national anthem of Algeria, known for its revolutionary lyrics that honor the struggle for independence from French colonial rule.
-
C.
Thieu
Thieu is the family name of Nguyen Van Thieu, the South Vietnamese general and president during the Vietnam War.
-
D.
Khmer
Khmer is the Austroasiatic language spoken primarily in Cambodia, where it serves as the official and most widely used national language.
-
E.
Kaiyukan
Kaiyukan is a large, world-renowned public aquarium in Osaka, Japan, famous for its massive central tank and immersive marine life exhibits.
- 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_69a2e7933d6c8190bb2592ad13286ef2 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2ea82ba748190bae651f5de908617 |
completed | Feb. 28, 2026, 1:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3cb0203c081909fadc99c2172c87a |
completed | March 1, 2026, 5:13 a.m. |
| NEDg | Description generation | batch_69a3cb812dc081908a359022c8b5cf58 |
completed | March 1, 2026, 5:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3cbedcaf081908b4abdd3c7ce0474 |
completed | March 1, 2026, 5:17 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.