Triple
T16919485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gu’an East railway station |
E410406
|
entity |
| Predicate | hasSymbol |
P129
|
FINISHED |
| Object | crh |
E338350
|
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: crh | Statement: [Gu’an East railway station, hasSymbol, crh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: crh Context triple: [Gu’an East railway station, hasSymbol, crh]
-
A.
CRH
chosen
CRH is the China Railway High-speed service and branding used for China's network of high-speed passenger trains.
-
B.
CRH
CRH is the commonly used abbreviation for the Cambridge Redhawks, a Canadian junior ice hockey team based in Cambridge, Ontario.
-
C.
CRH
CRH is a healthcare facility known as Central Regional Hospital, providing medical and surgical services to its surrounding community.
-
D.
CRH380C
The CRH380C is a high-speed electric multiple unit train used in China’s railway network, designed for rapid passenger service at speeds of up to around 380 km/h.
-
E.
CRUI
CRUI is the Conference of Italian University Rectors, a national association representing and coordinating the leadership of Italian universities.
- 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_69e3cded2f8481909a20cc08b47e922e |
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.