Triple
T2731569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inca Trail |
E60325
|
entity |
| Predicate | drySeasonMonths |
P16763
|
FINISHED |
| Object | May to September |
—
|
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: May to September | Statement: [Inca Trail, drySeasonMonths, May to September]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: drySeasonMonths Context triple: [Inca Trail, drySeasonMonths, May to September]
-
A.
drySeason
chosen
Indicates that the relationship or action occurs during, or is characteristic of, a period with little or no rainfall.
-
B.
growingSeason
Indicates the period of the year during which growth or development actively occurs for the referenced entity.
-
C.
typicalSeasonSouthernHemisphere
Indicates the season in the Southern Hemisphere during which something most commonly or characteristically occurs.
-
D.
coldestSeason
Indicates the season during which a place or region experiences its lowest typical temperatures compared to other seasons.
-
E.
typicalSeasonTiming
Indicates the usual time period or season during which something normally occurs or is expected to take place.
- 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_69ab4b75cd908190b691ef0d1801acda |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdaee29088190bc4c734e48995794 |
completed | March 7, 2026, 7:59 a.m. |
| PD | Predicate disambiguation | batch_69abd82859348190bce3be8f2e9d60ba |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:56 p.m.