Triple
T32615067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Egbert |
E833760
|
entity |
| Predicate | influencedTerritory |
P19397
|
FINISHED |
| Object | Mercia |
—
|
NE NERFINISHED |
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: Mercia | Statement: [Egbert, influencedTerritory, Mercia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: influencedTerritory Context triple: [Egbert, influencedTerritory, Mercia]
-
A.
mainTerritoryOfInfluence
Indicates the primary geographic area where an entity exerts the most significant control, impact, or influence.
-
B.
hasRegionalInfluenceFrom
Indicates that one entity’s influence, impact, or authority in a region is derived from or shaped by another entity.
-
C.
affectsTerritoryOf
Indicates that one entity causes changes to, or has an impact on, the territorial domain or jurisdiction of another entity.
-
D.
influencesRegion
chosen
Indicates that one entity has an effect on, shapes, or alters the conditions, characteristics, or behavior of a specified region.
-
E.
countryInfluence
Indicates the degree to which one country affects or shapes the policies, decisions, or conditions within another country or in the international arena.
- 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_69f3492bfa648190b6ae472074634e29 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fb563aec448190875410fb1a3ed624 |
completed | May 6, 2026, 2:54 p.m. |
| PD | Predicate disambiguation | batch_69fb35b9ede881908aaae93a215525df |
completed | May 6, 2026, 12:36 p.m. |
Created at: May 1, 2026, 1:06 a.m.