Triple
T2755178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aguas Calientes |
E61082
|
entity |
| Predicate | departurePointFor |
P1521
|
FINISHED |
| Object | buses to Machu Picchu entrance |
—
|
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: buses to Machu Picchu entrance | Statement: [Aguas Calientes, departurePointFor, buses to Machu Picchu entrance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: departurePointFor Context triple: [Aguas Calientes, departurePointFor, buses to Machu Picchu entrance]
-
A.
placeOfDeparture
chosen
Indicates the location from which an entity, such as a person or vehicle, begins its journey or movement.
-
B.
departureTime
Indicates the specific time at which an entity leaves or begins its departure from a location or state.
-
C.
journeyFrom
Indicates that an entity undertakes or originates a journey starting from a specified location or source.
-
D.
destinationOfFlight
Indicates the location or place to which a given flight is traveling or scheduled to arrive.
-
E.
startingStation
Indicates the station or location where a journey, route, or trip begins.
- 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_69ab4b7a85bc819094a349b84beb1f2c |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdb718f4c8190bfc34c6597163ebc |
completed | March 7, 2026, 8:01 a.m. |
| PD | Predicate disambiguation | batch_69abd82d005c81908a1ac7a1313c6d88 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:56 p.m.