Triple
T3344316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trajan's Column |
E70332
|
entity |
| Predicate | currentTopStatue |
P1646
|
FINISHED |
| Object | statue of Saint Peter |
—
|
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: statue of Saint Peter | Statement: [Trajan's Column, currentTopStatue, statue of Saint Peter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currentTopStatue Context triple: [Trajan's Column, currentTopStatue, statue of Saint Peter]
-
A.
statueHeight
Indicates the height measurement of a statue in some specified unit.
-
B.
statueName
Indicates that a statue has a specific name or title associated with it.
-
C.
hasStatue
chosen
Indicates that one entity possesses, contains, or is associated with a statue representing or located within it.
-
D.
highestDecorationOf
Indicates that one decoration or honor is the most prestigious or highest-ranking award received by a given entity.
-
E.
nationalTopRank
Indicates that an entity holds the highest rank or leading position at the national level within a specified domain or category.
- 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_69ad85a405e48190b6e68de7cf9f319e |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb1f23008819084ea68b8431c50ab |
completed | March 8, 2026, 5:29 p.m. |
| PD | Predicate disambiguation | batch_69ada42df1d48190874bb05f95deefde |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:12 p.m.