Triple
T24836130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arles, Roman and Romanesque Monuments |
E621477
|
entity |
| Predicate | managedAtLocalLevelBy |
P29724
|
FINISHED |
| Object | City of Arles |
—
|
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: City of Arles | Statement: [Arles, Roman and Romanesque Monuments, managedAtLocalLevelBy, City of Arles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: managedAtLocalLevelBy Context triple: [Arles, Roman and Romanesque Monuments, managedAtLocalLevelBy, City of Arles]
-
A.
hasLocalLevel
Indicates that one entity possesses, is associated with, or is defined at a specific local administrative or organizational level relative to another entity.
-
B.
managedIn
chosen
Indicates that one entity is administered, operated, or overseen within the scope, control, or jurisdiction of another entity.
-
C.
representedLocallyBy
Indicates that an entity is expressed, implemented, or instantiated in a specific local form or representation by another entity.
-
D.
mandateLevel
Indicates the degree or strictness of obligation imposed by a rule, policy, or authority on an action or relationship.
-
E.
organizationalLevelBelow
Indicates that one organization or unit operates at a lower hierarchical level than another within the same organizational structure.
- 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_69e2fac185d48190a0a6073ad1f6b792 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f47b865df48190bf4b6d3e9f9305e6 |
completed | May 1, 2026, 10:08 a.m. |
| PD | Predicate disambiguation | batch_69f4682c8a3c8190adbfaac99474eaaf |
completed | May 1, 2026, 8:45 a.m. |
Created at: April 18, 2026, 5:17 a.m.