Triple
T3370715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Serpent Column |
E70946
|
entity |
| Predicate | movementReason |
P12894
|
FINISHED |
| Object | to decorate the Hippodrome of Constantinople |
—
|
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: to decorate the Hippodrome of Constantinople | Statement: [Serpent Column, movementReason, to decorate the Hippodrome of Constantinople]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: movementReason Context triple: [Serpent Column, movementReason, to decorate the Hippodrome of Constantinople]
-
A.
movementCause
chosen
Indicates that one entity’s action or event is the cause of another entity’s movement or change in location.
-
B.
movementLocation
Indicates a relationship where an entity moves to, from, or through a specified location.
-
C.
movementType
Indicates the manner or mode in which an entity moves or is moved from one place or state to another.
-
D.
movementCharacteristic
Indicates how an entity moves or behaves in motion, such as its style, pattern, or quality of movement.
-
E.
movementStatus
Indicates the current state or condition of an entity’s movement, such as whether and how it is moving or stationary.
- 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_69ad85a729d48190afd789cd8417f289 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb2bb32f88190bacf50e11b50fe99 |
completed | March 8, 2026, 5:32 p.m. |
| PD | Predicate disambiguation | batch_69ada4317e288190ab7d0f66e9dba65f |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:13 p.m.