Triple
T8391318
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Porte Saint-Martin |
E197948
|
entity |
| Predicate | hasSideArch |
P81958
|
FINISHED |
| Object | northern pedestrian arch |
—
|
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: northern pedestrian arch | Statement: [Porte Saint-Martin, hasSideArch, northern pedestrian arch]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSideArch Context triple: [Porte Saint-Martin, hasSideArch, northern pedestrian arch]
-
A.
sideArchHeight
Indicates the vertical height measurement of a side arch relative to a reference point or baseline.
-
B.
sideArchWidth
Indicates the width measurement of a side arch in a structure or object.
-
C.
sideArchType
Indicates the architectural style or structural type used for the side arches in a construction or design.
-
D.
wheelArchDesign
Indicates the specific design or configuration of a vehicle’s wheel arch in relation to its body or wheel assembly.
-
E.
hasNumberOfArches
Indicates the relationship specifying how many arches are present in or associated with a given entity.
- 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_69ca82f749388190bffbea6dfb509016 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb810c5c5c81908e124c64911c4e6c |
completed | March 31, 2026, 8:08 a.m. |
| PD | Predicate disambiguation | batch_69cb70d24b248190a326aa6804f942b5 |
completed | March 31, 2026, 6:59 a.m. |
| PDg | Predicate description generation | batch_69cb77690720819099de1e22b84a9563 |
completed | March 31, 2026, 7:27 a.m. |
Created at: March 30, 2026, 6:03 p.m.