Triple
T26375312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | equestrian statue of Karl Philipp, Prince of Schwarzenberg |
E660882
|
entity |
| Predicate | positionInMonument |
P59400
|
FINISHED |
| Object | central figure |
—
|
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: central figure | Statement: [equestrian statue of Karl Philipp, Prince of Schwarzenberg, positionInMonument, central figure]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionInMonument Context triple: [equestrian statue of Karl Philipp, Prince of Schwarzenberg, positionInMonument, central figure]
-
A.
positionOfStatue
chosen
Indicates the spatial location where a statue is situated or placed.
-
B.
usedInMonument
Indicates that something serves as a material, component, or element incorporated into the construction or design of a monument.
-
C.
positionInTemple
Indicates the specific location or role an entity occupies within a temple.
-
D.
monumentsLocation
Indicates the geographical place where a monument is situated or located.
-
E.
roleInMonument
Indicates that an entity holds or held a specific role, function, or contribution in relation to a particular monument.
- 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_69ee812a698881908d6a58265995fa39 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f6fb19063c81909466b329655c8583 |
completed | May 3, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69f6f969b4cc8190afb473a2d8b110bc |
completed | May 3, 2026, 7:29 a.m. |
Created at: April 26, 2026, 11 p.m.