Triple
T14086986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ZFS Intent Log |
E339022
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | ZIL |
E606953
|
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: ZIL | Statement: [ZFS Intent Log, alsoKnownAs, ZIL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ZIL Context triple: [ZFS Intent Log, alsoKnownAs, ZIL]
-
A.
ZIL automobile plant
chosen
ZIL automobile plant was a major Soviet and Russian manufacturer of trucks, buses, and luxury limousines, historically known for producing vehicles for government officials and the military.
-
B.
Lada
Lada is a Slavic goddess commonly associated with love, beauty, fertility, and the renewal of nature.
-
C.
Zilie
Zilie is the courtesy name of Sun Xiu, an emperor of the Eastern Wu state during China’s Three Kingdoms period.
-
D.
GAZ (Gorky Automobile Plant)
GAZ (Gorky Automobile Plant) is a major Russian automotive manufacturer historically known for producing trucks, buses, and passenger cars, including many iconic Soviet-era vehicles.
-
E.
Niva
Niva was a prominent Russian literary and illustrated weekly magazine of the late 19th and early 20th centuries, known for publishing fiction, poetry, and cultural commentary.
- 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_69d81c687b0c819087fd9ed4198403f8 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5edff1b881909ea56dc2429ef2dd |
completed | April 14, 2026, 3:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcd0a3e55c81909b52f618e9076dd2 |
completed | May 7, 2026, 5:49 p.m. |
Created at: April 9, 2026, 10:21 p.m.