Triple
T15413077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kalimari Desert |
E368640
|
entity |
| Predicate | obstacleBehavior |
P52690
|
FINISHED |
| Object | train blocks the main road at crossing |
—
|
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: train blocks the main road at crossing | Statement: [Kalimari Desert, obstacleBehavior, train blocks the main road at crossing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: obstacleBehavior Context triple: [Kalimari Desert, obstacleBehavior, train blocks the main road at crossing]
-
A.
obstacles
chosen
Indicates that one entity presents barriers, hindrances, or impediments that block or restrict another entity’s progress, action, or interaction.
-
B.
obstacleHeightCharacteristic
Indicates the characteristic or measured value of an obstacle’s height in relation to a reference level or path.
-
C.
seeksToAvoid
Indicates an entity’s intention or effort to stay away from, prevent, or not experience another entity or situation.
-
D.
hasObstacleType
Indicates that an entity is associated with or characterized by a specific type or category of obstacle.
-
E.
behaviorNear
Indicates that one entity exhibits a behavior or action in close spatial proximity to another entity.
- 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_69d85a16c68c819099c1b547fbc87b32 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03ea7561481909b04e613e2352f82 |
completed | April 16, 2026, 1:43 a.m. |
| PD | Predicate disambiguation | batch_69ded27f45548190a6d2b1b85cb47444 |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 3:20 a.m.