Triple
T23881319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 辛丑条约 |
E600207
|
entity |
| Predicate | 赔款折合 |
P24625
|
FINISHED |
| Object | 约合白银9.8亿两含利息 |
—
|
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: 约合白银9.8亿两含利息 | Statement: [辛丑条约, 赔款折合, 约合白银9.8亿两含利息]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 赔款折合 Context triple: [辛丑条约, 赔款折合, 约合白银9.8亿两含利息]
-
A.
reparationAmountPerPerson
Indicates the specific amount of reparations allocated or owed to each individual person involved.
-
B.
currencyOfDamageCost
Indicates the monetary currency in which a specified damage cost amount is expressed.
-
C.
paymentAmount
chosen
Indicates the specific monetary value involved in a payment transaction between parties.
-
D.
amountInvolvedApprox
Indicates that the relationship specifies an approximate value or quantity involved in an action, event, or transaction.
-
E.
financialRedressAmountNZD
Indicates the specific amount of financial compensation or redress, expressed in New Zealand dollars (NZD), provided or owed in relation to an event or claim.
- 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_69e295318e148190b9979d8fc02e168f |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f1cc05e4d48190864fc47bdffa4ca9 |
completed | April 29, 2026, 9:14 a.m. |
| PD | Predicate disambiguation | batch_69f1614a65a88190bde1efb368a151e4 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:24 p.m.