Triple
T12513944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Indian Princess Head (Type 2) |
E299149
|
entity |
| Predicate | monarchOnCoin |
P105357
|
FINISHED |
| Object | none |
—
|
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: none | Statement: [Indian Princess Head (Type 2), monarchOnCoin, none]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: monarchOnCoin Context triple: [Indian Princess Head (Type 2), monarchOnCoin, none]
-
A.
monarchFeaturedOnBanknotes
Indicates that a particular monarch is depicted or represented on one or more banknotes.
-
B.
monarchIn
Indicates that a person serves as the ruling monarch of a specified country, state, or territory.
-
C.
monarchRepresentedBy
Indicates that a monarch is formally represented or acted on behalf of by another person or entity in official or ceremonial capacities.
-
D.
monarchAssociatedWith
Indicates a relationship where a monarch has a notable connection or affiliation with another entity, such as a person, place, institution, or event.
-
E.
namedForMonarch
Indicates that one entity bears a name derived from or given in honor 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_69d6ada4cd388190ae3bbf83ff87057a |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d954b867dc8190af8a70f797e4d133 |
completed | April 10, 2026, 7:51 p.m. |
| PD | Predicate disambiguation | batch_69d954096af88190b6be81b008c82139 |
completed | April 10, 2026, 7:48 p.m. |
| PDg | Predicate description generation | batch_69d954b715fc819091fa84430be46273 |
completed | April 10, 2026, 7:51 p.m. |
Created at: April 8, 2026, 9:57 p.m.