Triple
T2689163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kingdom of Seville |
E57556
|
entity |
| Predicate | territorialRank |
P13048
|
FINISHED |
| Object | kingdom within the composite monarchy of Castile |
—
|
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: kingdom within the composite monarchy of Castile | Statement: [Kingdom of Seville, territorialRank, kingdom within the composite monarchy of Castile]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: territorialRank Context triple: [Kingdom of Seville, territorialRank, kingdom within the composite monarchy of Castile]
-
A.
regionRankContext
chosen
Indicates the relative ranking or position of something within a specific geographic or regional context.
-
B.
areaRank
Indicates the relative ordering or position of an entity based on the size of its area compared to others.
-
C.
territorialStatus
Indicates the legal or political condition of control, sovereignty, or jurisdiction that applies to a specific territory.
-
D.
populationRank
Indicates the relative position of an entity in an ordered list based on the size of its population.
-
E.
territoryType
Indicates the specific kind or classification of a territory associated with an entity (e.g., country, region, zone, or jurisdiction type).
- 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_69ab4a5028388190a36f3baf1588309e |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd9f380d48190953529d23688a328 |
completed | March 7, 2026, 7:55 a.m. |
| PD | Predicate disambiguation | batch_69abd81c9b4c81908e5e0da6ac5f828b |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:54 p.m.