Triple
T18157127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ASM |
E434659
|
entity |
| Predicate | hasMonacoIdentity |
P130688
|
FINISHED |
| Object | represents Principality of Monaco in French league system |
—
|
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: represents Principality of Monaco in French league system | Statement: [ASM, hasMonacoIdentity, represents Principality of Monaco in French league system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMonacoIdentity Context triple: [ASM, hasMonacoIdentity, represents Principality of Monaco in French league system]
-
A.
hasMoniker
Indicates that an entity is known by or referred to using a particular name, nickname, or alias.
-
B.
hasIdentityComponent
Indicates that an entity includes or is associated with a specific component that contributes to or defines its identity.
-
C.
hasIdentity
Indicates that one entity is the same as, or is identified as, another specific entity or identifier.
-
D.
hasMascotIdentity
Indicates that an entity serves as or possesses the role/identity of a mascot for another entity.
-
E.
hasGlobalIdentity
Indicates that an entity possesses a unique, overarching identity that is recognized or valid across multiple systems, contexts, or domains.
- 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_69d8b90b7a188190b3fc7b8d4a6cd20a |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4debf43348190a22f23a4bbfab433 |
completed | April 19, 2026, 1:55 p.m. |
| PD | Predicate disambiguation | batch_69e4331baeb88190b21f50a98c36c78e |
completed | April 19, 2026, 1:42 a.m. |
| PDg | Predicate description generation | batch_69e438f5ae2c8190b11dee46534fa5a9 |
completed | April 19, 2026, 2:07 a.m. |
Created at: April 10, 2026, 10:30 a.m.