Triple
T267951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | China Standard Time |
E5773
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
CST
CST is the time zone used throughout mainland China, eight hours ahead of Coordinated Universal Time (UTC+8).
|
E35124
|
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: CST | Statement: [China Standard Time, alsoKnownAs, CST]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CST Context triple: [China Standard Time, alsoKnownAs, CST]
-
A.
ChST
ChST is the time zone used in Guam and the Northern Mariana Islands, which is 10 hours ahead of Coordinated Universal Time (UTC+10).
-
B.
CEST
CEST is the daylight saving time observed in many Central European countries, typically running one hour ahead of Central European Time.
-
C.
CED
CED is an academic unit focused on the study and practice of environmental design, including fields such as architecture, landscape architecture, and urban planning.
-
D.
CIT
CIT is the commonly used acronym for the Center for Information Technology, an organization focused on advancing computing and information systems.
-
E.
CLT
CLT is a fundamental statistical principle stating that the sum or average of many independent, identically distributed random variables tends to follow a normal distribution, regardless of the original distribution.
- 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: CST Triple: [China Standard Time, alsoKnownAs, CST]
Generated description
CST is the time zone used throughout mainland China, eight hours ahead of Coordinated Universal Time (UTC+8).
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CST Target entity description: CST is the time zone used throughout mainland China, eight hours ahead of Coordinated Universal Time (UTC+8).
-
A.
ChST
ChST is the time zone used in Guam and the Northern Mariana Islands, which is 10 hours ahead of Coordinated Universal Time (UTC+10).
-
B.
CEST
CEST is the daylight saving time observed in many Central European countries, typically running one hour ahead of Central European Time.
-
C.
CED
CED is an academic unit focused on the study and practice of environmental design, including fields such as architecture, landscape architecture, and urban planning.
-
D.
CIT
CIT is the commonly used acronym for the Center for Information Technology, an organization focused on advancing computing and information systems.
-
E.
CLT
CLT is a fundamental statistical principle stating that the sum or average of many independent, identically distributed random variables tends to follow a normal distribution, regardless of the original distribution.
- 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_69a2587daeb081909591b9d30f80a271 |
completed | Feb. 28, 2026, 2:52 a.m. |
| NER | Named-entity recognition | batch_69a25dae4a0c8190a66cf6ed3889851c |
completed | Feb. 28, 2026, 3:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a38b9082b8819099cd5e7fe3c7335f |
completed | March 1, 2026, 12:42 a.m. |
| NEDg | Description generation | batch_69a38e18d48881908603e803b502680c |
completed | March 1, 2026, 12:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a38eb171dc8190ba4d0f5d377df998 |
completed | March 1, 2026, 12:56 a.m. |
Created at: Feb. 28, 2026, 2:56 a.m.