Triple
T18968492
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tallahassee |
E464102
|
entity |
| Predicate | rankInFloridaByPopulation |
P17678
|
FINISHED |
| Object | one of the largest cities in the Florida Panhandle |
—
|
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: one of the largest cities in the Florida Panhandle | Statement: [Tallahassee, rankInFloridaByPopulation, one of the largest cities in the Florida Panhandle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankInFloridaByPopulation Context triple: [Tallahassee, rankInFloridaByPopulation, one of the largest cities in the Florida Panhandle]
-
A.
populationRankInFlorida
chosen
Indicates the relative position of an entity in a ranking based on its population size within the state of Florida.
-
B.
rankByPopulationInUS
Indicates the relative ordering of entities based on the size of their populations within the United States.
-
C.
rankByPopulationInUnitedStates
Indicates the relative ordering of entities based on their population size within the United States.
-
D.
rankInCaliforniaByPopulation
Indicates the ordinal position of an entity in a list of California entities ordered by their population size.
-
E.
populationDensityRankInUS
Indicates the relative position of a place in a ranking of U.S. locations ordered by population density.
- 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_69d8dcffc278819086792a4ebfddfafa |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d6172888819090a8b3cb1db20496 |
completed | April 20, 2026, 7:30 a.m. |
| PD | Predicate disambiguation | batch_69e4a2f437648190b85650dae8885d48 |
completed | April 19, 2026, 9:40 a.m. |
Created at: April 10, 2026, noon