Triple
T16918249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AFU |
E410375
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | ZSU |
E410374
|
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: ZSU | Statement: [AFU, shortName, ZSU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ZSU Context triple: [AFU, shortName, ZSU]
-
A.
ZSU
chosen
ZSU is the commonly used Ukrainian abbreviation for the Armed Forces of Ukraine, the country's unified military organization.
-
B.
ZPSU
ZPSU is a Ukrainian technical university known for engineering, technology, and applied sciences education and research.
-
C.
UZS
UZS is the official currency code for the Uzbekistani soʻm, the national currency of Uzbekistan.
-
D.
ZUE
ZUE is the railway station code for Zürich Hauptbahnhof, Switzerland’s largest and busiest train station and a major European rail hub.
-
E.
ZS
ZS is the stock ticker symbol for Zscaler, a cloud-based information security company traded on the NASDAQ.
- 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_69d886c7b1e481908c3766dfa8c13458 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3cdec3d0c8190994a0fca335c65d6 |
completed | April 18, 2026, 6:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c7c2c9cc8190b6d59d0a8edd078d |
completed | May 10, 2026, 6 p.m. |
Created at: April 10, 2026, 5:30 a.m.