Triple
T26691200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lions Den |
E672885
|
entity |
| Predicate | roadsideFunction |
P1777
|
FINISHED |
| Object | rest stop for travelers |
—
|
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: rest stop for travelers | Statement: [Lions Den, roadsideFunction, rest stop for travelers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roadsideFunction Context triple: [Lions Den, roadsideFunction, rest stop for travelers]
-
A.
roadSide
Indicates that one entity is located along, beside, or immediately adjacent to a road.
-
B.
roadMode
Indicates the mode or type of transportation being used on a road within the described relationship or action.
-
C.
roadFeature
chosen
Indicates that an entity is a specific physical or functional characteristic associated with a road, such as its structure, markings, or related infrastructure.
-
D.
onRoad
Indicates that one entity is located on, traveling along, or otherwise situated upon a road.
-
E.
rangeRoad
Indicates that a road or route extends across or through a specified geographic range or area.
- 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_69eecda2066c8190a344218afa5e89c1 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f617424a9881909cdec90173560455 |
completed | May 2, 2026, 3:24 p.m. |
| PD | Predicate disambiguation | batch_69f60b8bb0d08190ab5a9a2a8847c6f4 |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 27, 2026, 3:26 a.m.