Triple
T29155427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Petersburg metropolitan area |
E739024
|
entity |
| Predicate | hasIndependentCityAtCore |
P3366
|
FINISHED |
| Object | Petersburg, Virginia |
E201763
|
NE 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: Petersburg, Virginia | Statement: [Petersburg metropolitan area, hasIndependentCityAtCore, Petersburg, Virginia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasIndependentCityAtCore Context triple: [Petersburg metropolitan area, hasIndependentCityAtCore, Petersburg, Virginia]
-
A.
hasIndependentCity
chosen
Indicates that a larger administrative region or entity contains a city that is administratively independent from the surrounding local jurisdictions.
-
B.
isCoreCity
Indicates that a city serves as a primary, central, or most important urban area within a larger region, system, or network.
-
C.
isMetropolitanCoreOf
Indicates that one area functions as the central, most urbanized core within a larger metropolitan region or system.
-
D.
hasCoreTown
Indicates that an entity possesses or is associated with a primary or central town that serves as its main urban center.
-
E.
hasCentralCities
Indicates that an entity is associated with one or more cities that serve as its primary or central urban locations.
- F. None of above.
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_69f07cb528fc8190a556b73990c347c8 |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69fe744faca881908e11e90e0a35653f |
completed | May 8, 2026, 11:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a25c0d489cc8190b28755e645157c90 |
completed | June 7, 2026, 7:04 p.m. |
| PD | Predicate disambiguation | batch_69fe734cbf7081909a552c5cf3b5ea59 |
completed | May 8, 2026, 11:35 p.m. |
Created at: April 28, 2026, 11:44 a.m.