Triple
T35814348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The O'Conor Don |
E1035313
|
entity |
| Predicate | associatedWithHistoricalKingdom |
P20193
|
FINISHED |
| Object | Kingdom of Connacht |
E296934
|
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: Kingdom of Connacht | Statement: [The O'Conor Don, associatedWithHistoricalKingdom, Kingdom of Connacht]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithHistoricalKingdom Context triple: [The O'Conor Don, associatedWithHistoricalKingdom, Kingdom of Connacht]
-
A.
associatedWithLaterKingdom
Indicates a relationship where an entity is linked or connected to a kingdom that arose or existed at a later historical period.
-
B.
kingdomAssociatedWith
chosen
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.
-
C.
eraOfHistoricalKingdom
Indicates the historical time period during which a particular kingdom existed or held prominence.
-
D.
associatedWithMonarchy
Indicates a relationship in which something has a connection, link, or relevance to a monarchy or monarchical system.
-
E.
foundedKingdom
Indicates that an entity established or created a kingdom as its founder.
- 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_69f76e1762408190b885a8456862e372 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037ce70f54819082946dad8d380825 |
completed | May 12, 2026, 7:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a38a4dd462881909067994b24b9189c |
completed | June 22, 2026, 2:58 a.m. |
| PD | Predicate disambiguation | batch_6a037a069e6c8190857b611fffb7b867 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:06 p.m.