Triple
T29657632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2017 Doklam standoff |
E750312
|
entity |
| Predicate | involvedDiplomaticChannel |
P52594
|
FINISHED |
| Object | India–China diplomatic talks |
—
|
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: India–China diplomatic talks | Statement: [2017 Doklam standoff, involvedDiplomaticChannel, India–China diplomatic talks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: involvedDiplomaticChannel Context triple: [2017 Doklam standoff, involvedDiplomaticChannel, India–China diplomatic talks]
-
A.
involvedDiplomat
Indicates that a diplomat participated in, was associated with, or played a role in a specified event, interaction, or situation.
-
B.
involvesDiplomat
Indicates that a situation, event, or interaction includes the participation or presence of a diplomat as a relevant party.
-
C.
hasDiplomaticDimension
Indicates that a situation, issue, or interaction involves aspects of diplomacy or international relations between entities.
-
D.
diplomaticActivity
chosen
Indicates engagement in formal or informal diplomatic actions or interactions between parties, such as negotiations, consultations, or representation.
-
E.
involvedStrait
Indicates that the entities are connected through, or have a relationship involving, a particular strait (a narrow body of water).
- 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_69f0d6226fe881908819197c9ef9ee04 |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69fb2e940d5c8190bceae77daf4ef512 |
completed | May 6, 2026, 12:05 p.m. |
| PD | Predicate disambiguation | batch_69f9fec70bd881909c658a3c5020318b |
completed | May 5, 2026, 2:29 p.m. |
Created at: April 28, 2026, 6:56 p.m.