Triple
T8768682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | India–Myanmar border |
E208400
|
entity |
| Predicate | freeMovementRegimeDistanceInKilometres |
P85287
|
FINISHED |
| Object | 16 |
—
|
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: 16 | Statement: [India–Myanmar border, freeMovementRegimeDistanceInKilometres, 16]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: freeMovementRegimeDistanceInKilometres Context triple: [India–Myanmar border, freeMovementRegimeDistanceInKilometres, 16]
-
A.
guaranteesFreeMovementOf
Indicates that one entity ensures another entity can move or travel without restriction, obstruction, or imposed limitations.
-
B.
hasDutyFreeArea
Indicates that one entity provides or contains a designated duty-free area for another entity or for certain activities.
-
C.
distanceToRussianBorder_km
Indicates the physical distance, measured in kilometers, between a given location and the nearest point on the Russian border.
-
D.
travelFreedom
Indicates the degree to which an entity is allowed or able to move or travel freely across locations or jurisdictions without restriction.
-
E.
distanceToFrance
Indicates the spatial distance between a given entity and the country of France.
- F. None of above. chosen
Provenance (4 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_69ca835edb4481909b4aafb616dc5eb7 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5eec49708190ba760d81a7974c50 |
completed | March 31, 2026, 11:55 p.m. |
| PD | Predicate disambiguation | batch_69cc5c1884bc8190a46e8308db31f7ab |
completed | March 31, 2026, 11:43 p.m. |
| PDg | Predicate description generation | batch_69cc5cfddef48190aee764ee7b25bae9 |
completed | March 31, 2026, 11:47 p.m. |
Created at: March 30, 2026, 6:41 p.m.