Triple
T13944577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coimbra-B |
E335345
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object | CB |
E335344
|
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: CB | Statement: [Coimbra-B, hasStationCode, CB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CB Context triple: [Coimbra-B, hasStationCode, CB]
-
A.
CB
CB is the post-nominal abbreviation indicating appointment as a Companion of the Order of the Bath, a British order of chivalry.
-
B.
CB
CB is a UK postcode area covering Cambridge and surrounding parts of Cambridgeshire and nearby regions.
-
C.
CB
CB is the vehicle registration code used on license plates for the German city of Cottbus.
-
D.
CB
CB is a common abbreviation for Code::Blocks, a free, open-source, cross-platform integrated development environment (IDE) primarily used for C, C++, and Fortran programming.
-
E.
CB
chosen
CB is the station code used to identify Coimbra-B railway station in Portugal’s rail network.
- 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_69d81c6081b88190b53e317c3370c8fe |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e0f6f3c8190a64058b732b0ac52 |
completed | April 14, 2026, 12:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7ce8da5908190aab069dc9b74b083 |
completed | May 3, 2026, 10:39 p.m. |
Created at: April 9, 2026, 10:17 p.m.