Triple
T2341426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amazigh flag |
E45034
|
entity |
| Predicate | greenRepresents |
P38847
|
FINISHED |
| Object | Tell Atlas and Rif mountains |
—
|
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: Tell Atlas and Rif mountains | Statement: [Amazigh flag, greenRepresents, Tell Atlas and Rif mountains]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: greenRepresents Context triple: [Amazigh flag, greenRepresents, Tell Atlas and Rif mountains]
-
A.
greenProtection
Indicates that an entity provides or is subject to protection related to environmental or ecological preservation.
-
B.
greenType
Indicates that one entity is classified as a specific type or category within the broader concept of "green" (e.g., a subtype, variant, or classification related to greenness).
-
C.
greenPrimary_x
Indicates that the subject has green as its primary or dominant color.
-
D.
greenShape
Indicates that the referenced shape has the color green.
-
E.
greenPrimary_y
Indicates that the referenced entity serves as the primary or dominant green component in a color representation or relationship.
- 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_69a88917935081909b755dbf38e81024 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abcade3c808190ab3803538ccbe620 |
completed | March 7, 2026, 6:51 a.m. |
| PD | Predicate disambiguation | batch_69abc59616a8819099711834e6f1ccd6 |
completed | March 7, 2026, 6:28 a.m. |
| PDg | Predicate description generation | batch_69abcadd2a0c8190b6973d390e98bd66 |
completed | March 7, 2026, 6:51 a.m. |
Created at: March 4, 2026, 7:52 p.m.