Triple
T19688320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Green Gang |
E472769
|
entity |
| Predicate | roleIn1927ShanghaiMassacre |
P108331
|
FINISHED |
| Object | suppression of Chinese Communist Party |
—
|
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: suppression of Chinese Communist Party | Statement: [Green Gang, roleIn1927ShanghaiMassacre, suppression of Chinese Communist Party]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleIn1927ShanghaiMassacre Context triple: [Green Gang, roleIn1927ShanghaiMassacre, suppression of Chinese Communist Party]
-
A.
roleInCaptureOfBeijing
Indicates the role or involvement an entity had in the capture of Beijing.
-
B.
numberOfPrisonersKilledDuringSeptemberMassacres
Indicates the count of prisoners who were killed during the September Massacres.
-
C.
roleInManchuria
Indicates that an entity holds or held a specific role, position, or function in the context of Manchuria.
-
D.
notableRepressionEvent
chosen
Indicates a significant instance in which an entity engaged in or experienced systematic repression, such as suppression of rights, freedoms, or dissent.
-
E.
roleDuringSecondSinoJapaneseWar
Indicates the specific role, position, or function an entity held or performed during the Second Sino-Japanese War.
- F. None of above.
Provenance (3 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_69d8e515bef88190bc30781aea50537a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6420e5b788190a63ff6b83383b0e8 |
completed | April 20, 2026, 3:11 p.m. |
| PD | Predicate disambiguation | batch_69e53039ea808190a9106a53f564ab92 |
completed | April 19, 2026, 7:42 p.m. |
Created at: April 10, 2026, 1:45 p.m.