Triple
T869844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toubkal |
E18784
|
entity |
| Predicate | approximateTrekDurationFromImlil |
P7618
|
FINISHED |
| Object | 2 days |
—
|
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: 2 days | Statement: [Toubkal, approximateTrekDurationFromImlil, 2 days]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateTrekDurationFromImlil Context triple: [Toubkal, approximateTrekDurationFromImlil, 2 days]
-
A.
distanceFromCairo
Indicates the measured spatial distance between a given entity’s location and the city of Cairo.
-
B.
trailLengthApprox
Indicates an approximate measurement of the total length of a trail.
-
C.
distanceToKinshasa
Indicates the measured spatial distance between a given entity’s location and the city of Kinshasa.
-
D.
typicalDurationDays
chosen
Indicates the usual or expected number of days that an associated event, process, or state typically lasts.
-
E.
hasTouristRoute
Indicates that a location or site is connected to or included in a designated tourist route or itinerary.
- 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_69a4938ce8688190a24bdfef82ba7d21 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ac811e548190a72b7a10b5ea8665 |
completed | March 1, 2026, 9:15 p.m. |
| PD | Predicate disambiguation | batch_69a4aa89ca008190b50d061ac7fe19f9 |
completed | March 1, 2026, 9:07 p.m. |
Created at: March 1, 2026, 7:39 p.m.