Triple
T21343876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Woody Island |
E526274
|
entity |
| Predicate | permanentChinesePresence |
P143785
|
FINISHED |
| Object | since 1950s–1970s (consolidated) |
—
|
LITERAL FINISHED |
How this triple was built (2 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: since 1950s–1970s (consolidated) | Statement: [Woody Island, permanentChinesePresence, since 1950s–1970s (consolidated)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: permanentChinesePresence Context triple: [Woody Island, permanentChinesePresence, since 1950s–1970s (consolidated)]
-
A.
ChineseObjective
Indicates that an entity has an objective, goal, or target specifically related to China or the Chinese context.
-
B.
ChinaPosition
Indicates the stance, policy, or viewpoint officially held or expressed by China regarding a particular issue, event, or entity.
-
C.
middleChineseOrigin
Indicates that something originates from or is derived from Middle Chinese.
-
D.
ChineseLeader
Indicates that the subject is a person who holds or has held a top political leadership position in China.
-
E.
positionOnChina
Indicates the stance, opinion, or policy that one entity holds regarding China.
- F. None of above. chosen
Provenance (4 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_69e0b51c33048190ab27cede74ef798c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8a85274f481909e699b390bed9350 |
completed | April 22, 2026, 10:52 a.m. |
| PD | Predicate disambiguation | batch_69e6161feea4819091d13bb003363279 |
completed | April 20, 2026, 12:03 p.m. |
| PDg | Predicate description generation | batch_69e6190163448190a2404b396215c686 |
completed | April 20, 2026, 12:16 p.m. |
Created at: April 16, 2026, 4:44 p.m.