Triple
T18774458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pseudologoi |
E459099
|
entity |
| Predicate | relatedConcept |
P37
|
FINISHED |
| Object | Momos |
—
|
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: Momos | Statement: [Pseudologoi, relatedConcept, Momos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Momos Context triple: [Pseudologoi, relatedConcept, Momos]
-
A.
Momos
chosen
Momos is the Greek personification of blame, mockery, and satire, often depicted as a minor deity who criticizes both gods and humans.
-
B.
Maoke Plate
The Maoke Plate is a minor tectonic plate in the region of New Guinea, contributing to the complex and active plate boundary interactions in eastern Indonesia.
-
C.
Ramenki
Ramenki is a Moscow Metro station serving the Kalininsko–Solntsevskaya Line in the Ramenki District of western Moscow, Russia.
-
D.
Ma Kai
Ma Kai is a Chinese politician who served as a Vice Premier of the State Council and played a key role in the country’s economic and financial policymaking.
-
E.
Momote
Momote is a small settlement in Papua New Guinea best known for its nearby Momote Airport on Los Negros Island in Manus Province.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d395dba0819087568404508590cb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5933888408190a21f9ac5b360d1eb |
completed | April 20, 2026, 2:45 a.m. |
Created at: April 10, 2026, 11:52 a.m.