Triple
T3586911
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nashua, New Hampshire |
E75930
|
entity |
| Predicate | awardCount_BestPlaceToLive_MoneyMagazine |
P49515
|
FINISHED |
| Object | twice |
—
|
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: twice | Statement: [Nashua, New Hampshire, awardCount_BestPlaceToLive_MoneyMagazine, twice]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardCount_BestPlaceToLive_MoneyMagazine Context triple: [Nashua, New Hampshire, awardCount_BestPlaceToLive_MoneyMagazine, twice]
-
A.
standardOfLivingRank
Indicates the relative position or ranking of an entity based on its standard of living compared to others.
-
B.
awardingCity
Indicates the city in which an award is formally given or conferred.
-
C.
awardLocale
Indicates the place or geographic location where an award is given or recognized.
-
D.
awardCity
Indicates the city where an award or prize is formally given or hosted.
-
E.
medianHouseholdIncomeRank
Indicates the relative position of a household’s income compared to others, typically ordered from lowest to highest median income.
- 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_69ad85d6dc3c8190b491b79b83e25461 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc137eb708190809cd52b6deb227c |
completed | March 8, 2026, 6:34 p.m. |
| PD | Predicate disambiguation | batch_69adb839b4e08190b1c0d611cccb11ae |
completed | March 8, 2026, 5:56 p.m. |
| PDg | Predicate description generation | batch_69adb902e61c81908f10494f828e260f |
completed | March 8, 2026, 5:59 p.m. |
Created at: March 8, 2026, 3:22 p.m.