Triple
T36000772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jokkmokk |
E1041122
|
entity |
| Predicate | winterMarketHeldSince |
P184319
|
FINISHED |
| Object | 17th century |
—
|
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: 17th century | Statement: [Jokkmokk, winterMarketHeldSince, 17th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: winterMarketHeldSince Context triple: [Jokkmokk, winterMarketHeldSince, 17th century]
-
A.
hasChristmasMarket
Indicates that a place or entity hosts or features a Christmas market.
-
B.
winterEditionsParticipated
Indicates that an entity took part in one or more winter editions of a recurring event or competition.
-
C.
winterSessionLocation
Indicates the place where a winter session (such as a seasonal term, program, or event) is held or takes place.
-
D.
winterFrequency
Indicates how often the related event, condition, or phenomenon occurs during the winter season.
-
E.
winterTouristSeason
Indicates that the relationship or context occurs during the winter period when tourism activity is at its peak or is specifically targeted.
- F. None of above. chosen
Provenance (4 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_69f76e2a02208190aedd1f9025a8b300 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7ad15f3b88190b7c9742a734fec5f |
completed | May 3, 2026, 8:16 p.m. |
| PD | Predicate disambiguation | batch_69f7ab75387c819091afc3c2128eb903 |
completed | May 3, 2026, 8:09 p.m. |
| PDg | Predicate description generation | batch_69f7acad20388190b9b10270ca9bdfbc |
completed | May 3, 2026, 8:14 p.m. |
Created at: May 3, 2026, 4:07 p.m.