Triple
T15757632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carver, Massachusetts |
E382007
|
entity |
| Predicate | hasCranberryIndustry |
P19189
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Carver, Massachusetts, hasCranberryIndustry, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCranberryIndustry Context triple: [Carver, Massachusetts, hasCranberryIndustry, yes]
-
A.
hasSugarMills
Indicates that one entity possesses, contains, or is associated with one or more sugar mills.
-
B.
hasWinemakingFacility
Indicates that an entity possesses or is associated with a facility where winemaking activities are carried out.
-
C.
hasWineMakingTradition
Indicates that a place or group has an established, culturally recognized history and practice of producing wine.
-
D.
hasMajorBrewery
Indicates that a location or entity possesses or hosts a large, commercially significant brewery.
-
E.
hasSmallTownIndustry
chosen
Indicates that a small town possesses or supports a particular type of industry or industrial activity.
- 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_69d86d9e6b44819085d1f6a969ecb74c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e050b35ea48190a758ee76a57b5451 |
completed | April 16, 2026, 3 a.m. |
| PD | Predicate disambiguation | batch_69e00531e7ac8190a4190cce4f7fab4c |
completed | April 15, 2026, 9:37 p.m. |
Created at: April 10, 2026, 4:47 a.m.