Triple
T9342550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monarch (MonsterVerse) |
E224795
|
entity |
| Predicate | hasBase |
P2909
|
FINISHED |
| Object |
Outpost 56 in China
Outpost 56 in China is a Monarch research and containment facility in the MonsterVerse, dedicated to monitoring and studying Titan activity in the region.
|
E792820
|
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: Outpost 56 in China | Statement: [Monarch (MonsterVerse), hasBase, Outpost 56 in China]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Outpost 56 in China Context triple: [Monarch (MonsterVerse), hasBase, Outpost 56 in China]
-
A.
Nanyuan
Nanyuan is a locality in Beijing, China, situated within the city's Fengtai District.
-
B.
Jianyan
Jianyan was the reign era name marking the early rule of Emperor Gaozong during the Southern Song dynasty in China.
-
C.
China Hill
China Hill is a small unincorporated rural community located in Telfair County, Georgia, United States.
-
D.
Lok Ma Chau control point
Lok Ma Chau Control Point is a major land border crossing between Hong Kong and mainland China, serving as a key passenger and cargo gateway near Shenzhen.
-
E.
Shancheng
Shancheng is a Chinese nickname meaning "Mountain City," commonly used to refer to the city of Chongqing, known for its steep terrain and hilly urban landscape.
- 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: Outpost 56 in China Triple: [Monarch (MonsterVerse), hasBase, Outpost 56 in China]
Generated description
Outpost 56 in China is a Monarch research and containment facility in the MonsterVerse, dedicated to monitoring and studying Titan activity in the region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Outpost 56 in China Target entity description: Outpost 56 in China is a Monarch research and containment facility in the MonsterVerse, dedicated to monitoring and studying Titan activity in the region.
-
A.
Nanyuan
Nanyuan is a locality in Beijing, China, situated within the city's Fengtai District.
-
B.
Jianyan
Jianyan was the reign era name marking the early rule of Emperor Gaozong during the Southern Song dynasty in China.
-
C.
China Hill
China Hill is a small unincorporated rural community located in Telfair County, Georgia, United States.
-
D.
Lok Ma Chau control point
Lok Ma Chau Control Point is a major land border crossing between Hong Kong and mainland China, serving as a key passenger and cargo gateway near Shenzhen.
-
E.
Shancheng
Shancheng is a Chinese nickname meaning "Mountain City," commonly used to refer to the city of Chongqing, known for its steep terrain and hilly urban landscape.
- 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_69ca842993248190a79ab06968994b86 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd4bb11cd08190b159a6066dd0ebf1 |
completed | April 1, 2026, 4:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0e4043e288190b05511d537b1614d |
completed | April 4, 2026, 10:12 a.m. |
| NEDg | Description generation | batch_69d0e573af788190be4baaa3afb87ca2 |
completed | April 4, 2026, 10:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0e607944c81909a421828595cd793 |
completed | April 4, 2026, 10:20 a.m. |
Created at: March 30, 2026, 7:40 p.m.