Triple
T22785001
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patrimoine du XXe siècle |
E563938
|
entity |
| Predicate | hasLabelOnSite |
P100554
|
FINISHED |
| Object | plaque on designated buildings |
—
|
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: plaque on designated buildings | Statement: [Patrimoine du XXe siècle, hasLabelOnSite, plaque on designated buildings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLabelOnSite Context triple: [Patrimoine du XXe siècle, hasLabelOnSite, plaque on designated buildings]
-
A.
hasOnsiteLabel
chosen
Indicates that something is physically marked or identified with a label at its location or on its surface.
-
B.
hasLabel
Indicates that an entity is associated with a specific textual label or name used to identify or describe it.
-
C.
isLabeledOn
Indicates that a label, tag, or identifying text is physically or virtually attached to or displayed on an entity.
-
D.
hasSiteStatus
Indicates the current operational or condition status assigned to a particular site.
-
E.
hasWHOLabel
Indicates that an entity is associated with a specific World Health Organization (WHO) label or classification.
- 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_69e2455500788190b4b33030461f3bbd |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17c30b4dc8190a5e23f4ce7feb300 |
completed | April 29, 2026, 3:34 a.m. |
| PD | Predicate disambiguation | batch_69eed2c32e8c8190b73bb9965ed47d64 |
completed | April 27, 2026, 3:06 a.m. |
Created at: April 17, 2026, 3:29 p.m.