Triple
T4368619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Burlington |
E98838
|
entity |
| Predicate | hasPopulationRankInVermont |
P55806
|
FINISHED |
| Object | among largest cities in Vermont |
—
|
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: among largest cities in Vermont | Statement: [South Burlington, hasPopulationRankInVermont, among largest cities in Vermont]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPopulationRankInVermont Context triple: [South Burlington, hasPopulationRankInVermont, among largest cities in Vermont]
-
A.
hasPopulationRank
Indicates the relative position of an entity in an ordered list based on the size of its population.
-
B.
rankByPopulationInNewEngland
Indicates the relative ordering of entities based on their population size within the New England region.
-
C.
populationRankInVirginia
Indicates the relative position of an entity in terms of population size compared to other entities within Virginia.
-
D.
populationRankInConnecticut
Indicates the relative position of an entity in terms of population size compared to other entities within the state of Connecticut.
-
E.
populationDensityRankInUS
Indicates the relative position of a place in a ranking of U.S. locations ordered by population density.
- 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_69b3454db3708190aeafd814413c4c3d |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b352034d3881909ed4b2f9eef5e823 |
completed | March 12, 2026, 11:53 p.m. |
| PD | Predicate disambiguation | batch_69b34f53e3cc8190bf5d4dbe2413bf65 |
completed | March 12, 2026, 11:42 p.m. |
| PDg | Predicate description generation | batch_69b34ff654308190b9717526120d80d3 |
completed | March 12, 2026, 11:44 p.m. |
Created at: March 12, 2026, 11:17 p.m.