Triple
T1991179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coat of arms of Moscow |
E43253
|
entity |
| Predicate | dragonPosition |
P35227
|
FINISHED |
| Object | under hooves of the horse |
—
|
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: under hooves of the horse | Statement: [Coat of arms of Moscow, dragonPosition, under hooves of the horse]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dragonPosition Context triple: [Coat of arms of Moscow, dragonPosition, under hooves of the horse]
-
A.
lionPosition
Indicates the spatial location or placement of a lion relative to a reference frame or environment.
-
B.
deltaLocation
Indicates a change or difference between two locations, typically specifying how one location has shifted relative to another.
-
C.
pillarNumber
Indicates the specific numerical identifier assigned to a particular pillar within a set or structure.
-
D.
gameLocation
Indicates the place or venue where a game or match takes place.
-
E.
spawningLocation
Indicates the place or environment where an entity originates, appears, or is generated.
- 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_69a88714cf2c819081644be450b8356e |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb8ee02dc81908fec9fd8df7a4f40 |
completed | March 7, 2026, 5:34 a.m. |
| PD | Predicate disambiguation | batch_69abb79ad6888190be99943a9c73cf3e |
completed | March 7, 2026, 5:28 a.m. |
| PDg | Predicate description generation | batch_69abb8ec608c81908917e945e0118ac4 |
completed | March 7, 2026, 5:34 a.m. |
Created at: March 4, 2026, 7:37 p.m.