Triple
T1532836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Centre des monuments nationaux |
E32482
|
entity |
| Predicate | numberOfSitesManaged |
P13355
|
FINISHED |
| Object | around 100 monuments and sites |
—
|
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: around 100 monuments and sites | Statement: [Centre des monuments nationaux, numberOfSitesManaged, around 100 monuments and sites]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfSitesManaged Context triple: [Centre des monuments nationaux, numberOfSitesManaged, around 100 monuments and sites]
-
A.
numberOfSites
Indicates the total count of distinct sites associated with or involved in the given entity or context.
-
B.
numberOfPropertiesManaged
chosen
Indicates the total count of properties that an entity is responsible for managing.
-
C.
managingCenter
Indicates that one entity serves as the administrative or coordinating center responsible for managing another entity or activity.
-
D.
allowedNumberOfABMSitesPerSide
Indicates the maximum number of ABM (anti-ballistic missile) sites that each side is permitted to deploy.
-
E.
numberOfHosts
Indicates the total count of distinct hosts associated with or involved in a given entity or event.
- 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_69a885ea86308190998f6bc14bb91f8e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a915f323bc8190aa757142c225e0ae |
completed | March 5, 2026, 5:34 a.m. |
| PD | Predicate disambiguation | batch_69a907b046448190be8ea4d7b20255f7 |
completed | March 5, 2026, 4:33 a.m. |
Created at: March 4, 2026, 7:26 p.m.