Triple
T3072393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mordechai |
E64053
|
entity |
| Predicate | rodeOn |
P23429
|
FINISHED |
| Object | king’s horse in royal procession |
—
|
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: king’s horse in royal procession | Statement: [Mordechai, rodeOn, king’s horse in royal procession]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rodeOn Context triple: [Mordechai, rodeOn, king’s horse in royal procession]
-
A.
hasRideCycle
Indicates that one entity is associated with, or participates in, a recurring sequence or cycle of rides or ride operations.
-
B.
onRoad
Indicates that one entity is located on, traveling along, or otherwise situated upon a road.
-
C.
rides
chosen
Indicates that one entity travels on or is carried by another entity as a passenger or operator.
-
D.
ridingSpecialty
Indicates that one entity has a particular area of expertise or focus related to riding (e.g., a specific riding style, discipline, or type).
-
E.
rideSystem
Indicates that one entity uses or travels on a transportation system or service provided by another entity.
- F. None of above.
Provenance (3 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_69ad857a8aec8190bfdfd9c14554ac5a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada14c8bd881909cf1bb2649ba36db |
completed | March 8, 2026, 4:18 p.m. |
| PD | Predicate disambiguation | batch_69ad9625b30c819099ef9349c91d7b25 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 3:02 p.m.