Triple
T27112631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Margherita |
E686754
|
entity |
| Predicate | borderStateAcross |
P108153
|
FINISHED |
| Object | Myanmar |
—
|
NE NERFINISHED |
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: Myanmar | Statement: [Margherita, borderStateAcross, Myanmar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: borderStateAcross Context triple: [Margherita, borderStateAcross, Myanmar]
-
A.
borderStateOf
Indicates that one state shares a common boundary or border with another state.
-
B.
borderStateAcrossInternationalBorder
chosen
Indicates that one state shares a boundary with another state across an international border.
-
C.
borderStateDestination
Indicates that the destination state shares a common border with another referenced state.
-
D.
borderTownAcrossBorder
Indicates that a town lies on one side of a border directly opposite or adjacent to a town on the other side of that border.
-
E.
borderStateOrigin
Indicates that a state shares a land or maritime border with the place where an entity originated.
- 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_69ef148accd48190b6ed6e13a15f2a4f |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69fb563aec448190875410fb1a3ed624 |
completed | May 6, 2026, 2:54 p.m. |
| PD | Predicate disambiguation | batch_69fb35b9ede881908aaae93a215525df |
completed | May 6, 2026, 12:36 p.m. |
Created at: April 27, 2026, 8:54 a.m.