Triple
T34452965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joan of Arc in Rouen |
E884423
|
entity |
| Predicate | hasMonumentAt |
P198121
|
FINISHED |
| Object | Place du Vieux-Marché, Rouen |
—
|
NE NERFINISHED |
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: Place du Vieux-Marché, Rouen | Statement: [Joan of Arc in Rouen, hasMonumentAt, Place du Vieux-Marché, Rouen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMonumentAt Context triple: [Joan of Arc in Rouen, hasMonumentAt, Place du Vieux-Marché, Rouen]
-
A.
hasMonumentInCenter
Indicates that a place or area has a monument located at its central point or main focal area.
-
B.
hasPrimaryMonument
Indicates that an entity is associated with its main or most significant monument.
-
C.
isPublicMonument
Indicates that something is officially designated, accessible, and recognized as a monument in a public space.
-
D.
hasNumberOfMonuments
Indicates the specific count of monuments associated with or present in a given entity.
-
E.
knownMonuments
Indicates that an entity is recognized or identified as a monument by another entity or within a given context.
- 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_69f349c607688190b553539d14901a35 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fecb4d02f881909a9ee97ce98000d5 |
completed | May 9, 2026, 5:51 a.m. |
| PD | Predicate disambiguation | batch_69fec9846c1c8190b317f0711f0755db |
completed | May 9, 2026, 5:43 a.m. |
| PDg | Predicate description generation | batch_69fecb4be24481908bda6197d7fc32f4 |
completed | May 9, 2026, 5:51 a.m. |
Created at: May 1, 2026, 2 a.m.