Triple
T14916974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | British concession in Tianjin |
E371405
|
entity |
| Predicate | occupationStartTime |
P4697
|
FINISHED |
| Object | 1939 |
—
|
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: 1939 | Statement: [British concession in Tianjin, occupationStartTime, 1939]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: occupationStartTime Context triple: [British concession in Tianjin, occupationStartTime, 1939]
-
A.
occupationBeganAfter
Indicates that one entity’s occupation or job role started at a later time than another specified event or occupation.
-
B.
occupationBegan
chosen
Indicates the point in time when an entity started holding a particular occupation or job.
-
C.
positionStartTime
Indicates the time at which a position, role, or placement begins.
-
D.
startsAt
Indicates that an event, process, or state begins at a specific time, location, or point in a sequence.
-
E.
occupationDate
Indicates the date or time period during which an entity assumes, holds, or begins a particular role, position, or occupation.
- 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_69d85cc7ea3481908228b5acb7d06f12 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded62038508190946499cd3552990e |
completed | April 15, 2026, 12:04 a.m. |
| PD | Predicate disambiguation | batch_69de9a52ba988190a26e268b4ea083ea |
completed | April 14, 2026, 7:49 p.m. |
Created at: April 10, 2026, 2:32 a.m.