Triple
T2514384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Erytheia |
E52776
|
entity |
| Predicate | associatedWithDirection |
P40705
|
FINISHED |
| Object | west |
—
|
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: west | Statement: [Erytheia, associatedWithDirection, west]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithDirection Context triple: [Erytheia, associatedWithDirection, west]
-
A.
containsDirectionOf
Indicates that one entity includes or encompasses the directional orientation or path associated with another entity.
-
B.
associatedWithMovement
Indicates a relationship where an entity is connected to, involved in, or influenced by a particular movement (e.g., social, political, artistic, or ideological).
-
C.
associatedWithSee
Indicates a relationship where one entity is contextually or functionally linked to another through the act or concept of seeing or visual observation.
-
D.
associatedWithFlag
Indicates a relationship where an entity is linked or connected to a particular flag, such as a national, organizational, or symbolic banner.
-
E.
associatedWithRank
Indicates a relationship where an entity is linked to a specific rank, level, or hierarchical position.
- 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_69ab4958e76481908a235377dd921c9e |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd5a33234819082ad49fa6594b6be |
completed | March 7, 2026, 7:37 a.m. |
| PD | Predicate disambiguation | batch_69abd0bf37c0819088d28b5081ba7556 |
completed | March 7, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69abd5a1cd508190a660b9a3c6b7cbcb |
completed | March 7, 2026, 7:37 a.m. |
Created at: March 6, 2026, 9:46 p.m.