Triple
T34940485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1951 Seventeen Point Agreement for the Peaceful Liberation of Tibet |
E1007700
|
entity |
| Predicate | allegedIssue |
P29037
|
FINISHED |
| Object | lack of genuine Tibetan consent |
—
|
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: lack of genuine Tibetan consent | Statement: [1951 Seventeen Point Agreement for the Peaceful Liberation of Tibet, allegedIssue, lack of genuine Tibetan consent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: allegedIssue Context triple: [1951 Seventeen Point Agreement for the Peaceful Liberation of Tibet, allegedIssue, lack of genuine Tibetan consent]
-
A.
involvesIssue
chosen
Indicates that an action, event, or entity is related to, concerns, or includes a particular issue.
-
B.
allegedAction
Indicates that an action is claimed or asserted to have occurred, typically without being proven or confirmed.
-
C.
disputeIssue
Indicates that there is a disagreement or conflict specifically concerning a particular issue or point of contention.
-
D.
allegedUse
Indicates that something is claimed or suspected to have been used, without confirming that the use actually occurred.
-
E.
raisesIssue
Indicates that one entity brings up, reports, or formally submits a concern, problem, or topic for attention to another entity or system.
- 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_69f76dc513fc819084a1ff52abbfa5bc |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fbaebc8f2c8190b94f1b4a3ec92e8c |
completed | May 6, 2026, 9:12 p.m. |
| PD | Predicate disambiguation | batch_69fbadf1e6008190a71bbd196ba06844 |
completed | May 6, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4 p.m.