Triple
T30637031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shanghai Ghetto |
E779867
|
entity |
| Predicate | mainInflowFrom |
P169645
|
FINISHED |
| Object | Germany |
E1728
|
NE 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: Germany | Statement: [Shanghai Ghetto, mainInflowFrom, Germany]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainInflowFrom Context triple: [Shanghai Ghetto, mainInflowFrom, Germany]
-
A.
inflowTo
Indicates that something (such as a fluid, resource, or quantity) flows or moves into a specified target or destination.
-
B.
mainInfluentOf
Indicates that one entity is the primary source or dominant influencing factor affecting another entity.
-
C.
secondaryInflow
Indicates an additional, non-primary flow of something (such as water, resources, or information) entering a main system or channel.
-
D.
mainEntranceOn
Indicates that the primary entrance of one entity is located on or faces toward another entity, such as a particular side, street, or boundary.
-
E.
hasPrimaryInflow
Indicates that one entity serves as the main source of inflowing material, energy, or influence into another entity.
- 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_69f224a50ebc81909b961a94c7f66b12 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68a52b3cc8190834c244c8012253d |
completed | May 2, 2026, 11:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2863bf2a9881909def0aa41625622d |
completed | June 9, 2026, 7:04 p.m. |
| PD | Predicate disambiguation | batch_69f67e448a9c8190b591374d98799fe3 |
completed | May 2, 2026, 10:44 p.m. |
| PDg | Predicate description generation | batch_69f67f0353c88190a05b2db449abe0f4 |
completed | May 2, 2026, 10:47 p.m. |
Created at: April 29, 2026, 8:28 p.m.