Triple
T19678261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shepherds on Mount Ida |
E472511
|
entity |
| Predicate | knewAs |
P136518
|
FINISHED |
| Object | foster parents of Paris |
—
|
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: foster parents of Paris | Statement: [Shepherds on Mount Ida, knewAs, foster parents of Paris]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: knewAs Context triple: [Shepherds on Mount Ida, knewAs, foster parents of Paris]
-
A.
knownAsBy
Indicates that one entity is referred to or recognized by another entity using a particular name or designation.
-
B.
knownAsOneOf
Indicates that an entity is recognized or referred to as one member of a specified set of alternative names, labels, or identities.
-
C.
известенКак
Indicates that one entity is known or recognized by a particular name, title, or role.
-
D.
inscriptionKnownAs
Indicates that an inscription is referred to or identified by a particular name, label, or designation.
-
E.
alsoKnownAs
Indicates that one entity is an alternative name, alias, or designation for another entity.
- 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_69d8e514f2e08190ba70a4449519d218 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e641bda8348190b0c7816c50aca923 |
completed | April 20, 2026, 3:09 p.m. |
| PD | Predicate disambiguation | batch_69e514eb37b8819091502cc954f70eba |
completed | April 19, 2026, 5:46 p.m. |
| PDg | Predicate description generation | batch_69e5174b060c81908937ff9ff7fce611 |
completed | April 19, 2026, 5:56 p.m. |
Created at: April 10, 2026, 1:45 p.m.