Triple
T12210629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xuzhou East railway station |
E290946
|
entity |
| Predicate | railwayStationCode |
P1289
|
FINISHED |
| Object | XCH |
E182793
|
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: XCH | Statement: [Xuzhou East railway station, railwayStationCode, XCH]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: XCH Context triple: [Xuzhou East railway station, railwayStationCode, XCH]
-
A.
XCH
chosen
XCH is the IATA airport code for Christmas Island’s main international airport in the Indian Ocean.
-
B.
CHX
CHX is the National Rail station code for London Charing Cross, a major central London railway terminus and transport hub.
-
C.
XCD
XCD is the ISO 4217 currency code for the Eastern Caribbean dollar, the official monetary unit used by several Eastern Caribbean nations.
-
D.
X-Chain
X-Chain is Avalanche’s exchange-focused blockchain used primarily for creating and trading digital assets within the Avalanche network.
-
E.
XMR
XMR is the IATA airport code assigned to the airfield serving Cape Canaveral Space Force Station in Florida, United States.
- 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_69d6ab65923081909acfc61b7a612233 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91c7ed4688190b0546b784e36b0ec |
completed | April 10, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60a9f45108190a814cdca52e77b5e |
completed | May 2, 2026, 2:30 p.m. |
Created at: April 8, 2026, 9:51 p.m.