Triple
T36672170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen’s Fire Service Medal |
E905445
|
entity |
| Predicate | hasMonarchNameInTitle |
P200060
|
FINISHED |
| Object | Queen |
—
|
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: Queen | Statement: [Queen’s Fire Service Medal, hasMonarchNameInTitle, Queen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMonarchNameInTitle Context triple: [Queen’s Fire Service Medal, hasMonarchNameInTitle, Queen]
-
A.
hasMonarchTitleSince
Indicates that an entity has held a specific monarch title continuously starting from a given point in time.
-
B.
monarchTitleInText
Indicates that a text explicitly mentions a monarch’s formal title.
-
C.
monarchTitleIn
Indicates that a particular monarch holds or held a specific royal title within a given political or territorial entity.
-
D.
monarchTitleContext
Indicates the specific situational or historical context in which a monarch’s title is held, used, or recognized.
-
E.
styleOfMonarchTitle
Indicates the specific formal style or wording used in the official title of a monarch.
- 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_69f76e6f10008190aea41746aa1b186e |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69ff6ef0d61c81909162d37c15a1a3c3 |
completed | May 9, 2026, 5:29 p.m. |
| PD | Predicate disambiguation | batch_69ff6c6a58e08190921317062cd9d489 |
completed | May 9, 2026, 5:18 p.m. |
| PDg | Predicate description generation | batch_69ff6eefa9c48190aac36916990f6db5 |
completed | May 9, 2026, 5:29 p.m. |
Created at: May 3, 2026, 4:12 p.m.