Triple
T16924203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chinese First Phase Offensive |
E410523
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object |
Unsan
Unsan is a town in North Korea notable for being a key battleground during the early stages of the Korean War.
|
E1241064
|
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: Unsan | Statement: [Chinese First Phase Offensive, location, Unsan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Unsan Context triple: [Chinese First Phase Offensive, location, Unsan]
-
A.
Ukaan
Ukaan is a little-documented Niger-Congo language spoken by a small community in southwestern Nigeria.
-
B.
Unrug
Unrug is a Polish noble surname most notably associated with Józef Unrug, a distinguished Polish Navy admiral and World War II commander.
-
C.
Naju
Naju is a historic city in South Korea known for its pear cultivation and location in the southwestern province of South Jeolla.
-
D.
Ususan
Ususan is a barangay (village-level administrative division) located within the city of Taguig in Metro Manila, Philippines.
-
E.
Sa’och
Sa’och is an indigenous Pearic language (and its associated ethnic group) of mainland Southeast Asia, traditionally spoken by a small community in Cambodia and nearby regions.
- 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: Unsan Triple: [Chinese First Phase Offensive, location, Unsan]
Generated description
Unsan is a town in North Korea notable for being a key battleground during the early stages of the Korean War.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Unsan Target entity description: Unsan is a town in North Korea notable for being a key battleground during the early stages of the Korean War.
-
A.
Ukaan
Ukaan is a little-documented Niger-Congo language spoken by a small community in southwestern Nigeria.
-
B.
Unrug
Unrug is a Polish noble surname most notably associated with Józef Unrug, a distinguished Polish Navy admiral and World War II commander.
-
C.
Naju
Naju is a historic city in South Korea known for its pear cultivation and location in the southwestern province of South Jeolla.
-
D.
Ususan
Ususan is a barangay (village-level administrative division) located within the city of Taguig in Metro Manila, Philippines.
-
E.
Sa’och
Sa’och is an indigenous Pearic language (and its associated ethnic group) of mainland Southeast Asia, traditionally spoken by a small community in Cambodia and nearby regions.
- 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_69d886c7b1e481908c3766dfa8c13458 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3cdf1347c819085cf754a0c3e19ed |
completed | April 18, 2026, 6:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00cfd8a88c8190adda386b62fe543c |
completed | May 10, 2026, 6:35 p.m. |
| NEDg | Description generation | batch_6a00d0a0852c8190991af93d50fa2216 |
completed | May 10, 2026, 6:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00d14d13548190bb09408d28ff1ef8 |
completed | May 10, 2026, 6:41 p.m. |
Created at: April 10, 2026, 5:30 a.m.