Triple
T35007789
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Princess of Tamaran |
E1009858
|
entity |
| Predicate | inUniverseGovernmentForm |
P188918
|
FINISHED |
| Object | monarchy |
—
|
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: monarchy | Statement: [Princess of Tamaran, inUniverseGovernmentForm, monarchy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inUniverseGovernmentForm Context triple: [Princess of Tamaran, inUniverseGovernmentForm, monarchy]
-
A.
inUniverseForm
Indicates that an entity appears or exists in a particular form within a specified fictional universe or continuity.
-
B.
formedGovernmentIn
Indicates that an entity established or took office as the governing authority of a political unit in a specified place or jurisdiction.
-
C.
formedGovernmentOn
Indicates that an entity established or assumed control of a government on a specific date or at a specific point in time.
-
D.
inGovernmentFrom
Indicates that an entity holds or has held a government position or role starting from a specified point in time.
-
E.
formedGovernmentUnder
Indicates that one entity established and operated a governing body under the authority, framework, or auspices of another entity.
- 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_69f76dcb716881909f75e4fd60ab2284 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fbaf18085481908c774e8f8bbb9a41 |
completed | May 6, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69fbadf1e6008190a71bbd196ba06844 |
completed | May 6, 2026, 9:09 p.m. |
| PDg | Predicate description generation | batch_69fbaebbb7f88190b4edfd9b83550aad |
completed | May 6, 2026, 9:12 p.m. |
Created at: May 3, 2026, 4:01 p.m.