Triple
T36515432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mamercus |
E900023
|
entity |
| Predicate | MamersIs |
P185802
|
FINISHED |
| Object | Oscan form of Mars |
—
|
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: Oscan form of Mars | Statement: [Mamercus, MamersIs, Oscan form of Mars]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: MamersIs Context triple: [Mamercus, MamersIs, Oscan form of Mars]
-
A.
kinsmanOf
Indicates a familial relationship in which one person is a relative or kin of another.
-
B.
يدير
Indicates that an entity manages, directs, or oversees another entity, activity, or process.
-
C.
رعى
Indicates that an entity takes care of, looks after, or tends to another entity or activity (such as caring for someone, herding animals, or sponsoring an event).
-
D.
isCapitalMunicipalityOf
Indicates that a municipality serves as the official capital (administrative center) of a specified larger region, such as a state, province, or country.
-
E.
Listoghil
Indicates a relationship in which an entity is associated with or belongs to the place or context referred to as Listoghil.
- 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_69f76e5dada881909da2d34bc7a9202a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c371931c8190afb1d4dd5157f92c |
completed | May 3, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69f7c1b91fd88190ab85afd626603769 |
completed | May 3, 2026, 9:44 p.m. |
| PDg | Predicate description generation | batch_69f7c3705b5c81908c84004543a71c07 |
completed | May 3, 2026, 9:51 p.m. |
Created at: May 3, 2026, 4:10 p.m.