Triple
T4159463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Place du Maréchal Leclerc |
E91494
|
entity |
| Predicate | eraOfHonouredPersonActivity |
P54160
|
FINISHED |
| Object | 20th century |
—
|
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: 20th century | Statement: [Place du Maréchal Leclerc, eraOfHonouredPersonActivity, 20th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eraOfHonouredPersonActivity Context triple: [Place du Maréchal Leclerc, eraOfHonouredPersonActivity, 20th century]
-
A.
honoredPerson
Indicates that a person is the recipient of honor, recognition, or special distinction from another party or in a particular context.
-
B.
artistHonored
Indicates that one entity has been formally recognized or celebrated in honor of an artist.
-
C.
honouredPersonOccupation
Indicates that the honored person is or was associated with a particular occupation or professional role.
-
D.
hasTypeOfPersonCommemorated
Indicates that something is associated with or dedicated to a person of a specified type or role being commemorated.
-
E.
honoreeRole
Indicates the specific role, title, or capacity in which an individual is being honored in relation to an award, event, or recognition.
- 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_69aed9626ebc8190a39de631788bea3e |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af0321eee88190871c1d4bf44a5007 |
completed | March 9, 2026, 5:28 p.m. |
| PD | Predicate disambiguation | batch_69af018dc90c8190a754b1bfbc802e80 |
completed | March 9, 2026, 5:21 p.m. |
| PDg | Predicate description generation | batch_69af0320775c8190b90d80f512060f1c |
completed | March 9, 2026, 5:28 p.m. |
Created at: March 9, 2026, 3:44 p.m.