Triple
T9092442
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kingdom of Bohemia |
E217922
|
entity |
| Predicate | recognizedAsKingdom |
P87130
|
FINISHED |
| Object | 1212 |
—
|
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: 1212 | Statement: [Kingdom of Bohemia, recognizedAsKingdom, 1212]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recognizedAsKingdom Context triple: [Kingdom of Bohemia, recognizedAsKingdom, 1212]
-
A.
kingdomAssociatedWith
Indicates a relationship where something is connected or related to a particular kingdom, such as belonging to, originating from, or being governed by that kingdom.
-
B.
mentionsKingdom
Indicates that one entity explicitly refers to or brings up the topic of a kingdom in relation to another entity.
-
C.
kingdom
Indicates that an entity is classified within a particular biological kingdom in a taxonomic hierarchy.
-
D.
hasViewOfKingdom
Indicates that an entity has a vantage point from which it can see or overlook a kingdom.
-
E.
countryOfMonarchy
Indicates that a monarchy is associated with or rules over a particular country.
- F. None of above. chosen
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_69ca83d8ab5881909d8fddae363b32b1 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc96b18b24819097b525ddad3a85c0 |
completed | April 1, 2026, 3:53 a.m. |
| PD | Predicate disambiguation | batch_69cc65fc7f408190a5846e29ab3b97e5 |
completed | April 1, 2026, 12:25 a.m. |
| PDg | Predicate description generation | batch_69cc6a3c78388190a7436acc0e44ff55 |
completed | April 1, 2026, 12:43 a.m. |
Created at: March 30, 2026, 7:14 p.m.