Triple
T8371594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Case Red |
E197472
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Fall Rot |
E20942
|
NE 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: Fall Rot | Statement: [Case Red, alsoKnownAs, Fall Rot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fall Rot Context triple: [Case Red, alsoKnownAs, Fall Rot]
-
A.
Fractofusus
Fractofusus is an extinct, frond-shaped organism from the late Ediacaran period, notable for its simple, quilted body plan and importance in understanding early multicellular life.
-
B.
Fallen Leaf
Fallen Leaf is a residential community and subdivision within the town of Blackhawk in Contra Costa County, California.
-
C.
Fall Blau
chosen
Fall Blau was the German Wehrmacht’s 1942 summer offensive on the Eastern Front aimed at capturing the oil fields of the Caucasus and advancing toward Stalingrad during World War II.
-
D.
Feve
Feve is a Spanish narrow-gauge railway brand that operates regional and commuter train services, now integrated under Renfe.
-
E.
Trioditis
Trioditis is an epithet of the Greek goddess Hecate that emphasizes her association with crossroads and liminal spaces.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca82f56730819080cec5d991c76f4c |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb80a509dc81909e0ea4c66b21d84f |
completed | March 31, 2026, 8:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cde7d0a6d081909ffe138f80605992 |
completed | April 2, 2026, 3:51 a.m. |
Created at: March 30, 2026, 6:01 p.m.