Triple
T3889377
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mississippi Power |
E88020
|
entity |
| Predicate | hasServiceTerritoryIn |
P19850
|
FINISHED |
| Object | southern Mississippi |
—
|
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: southern Mississippi | Statement: [Mississippi Power, hasServiceTerritoryIn, southern Mississippi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasServiceTerritoryIn Context triple: [Mississippi Power, hasServiceTerritoryIn, southern Mississippi]
-
A.
hasServiceAreas
Indicates that an entity provides services within, or is operational across, specific geographic or functional areas.
-
B.
hasPrimaryServiceArea
Indicates that an entity is associated with a main geographic or functional area in which it primarily provides its services.
-
C.
hasComponentTerritory
Indicates that one territory is a constituent or subordinate part of a larger, encompassing territory.
-
D.
territoryIncluded
Indicates that one territory is geographically or administratively contained within another territory.
-
E.
activeInTerritory
chosen
Indicates that an entity conducts operations, activities, or maintains a presence within a specified geographic territory.
- 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_69aed9466d548190939f5217a23ed4ac |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeecaee7148190ada451ccfc6582ee |
completed | March 9, 2026, 3:52 p.m. |
| PD | Predicate disambiguation | batch_69aee759609c8190985e96ec6d96dedd |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:21 p.m.