Triple
T1371913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cambridge railway station |
E30129
|
entity |
| Predicate | stationCode |
P1289
|
FINISHED |
| Object | CBG |
E30129
|
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: CBG | Statement: [Cambridge railway station, stationCode, CBG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CBG Context triple: [Cambridge railway station, stationCode, CBG]
-
A.
CBG
chosen
CBG is the National Rail station code for Cambridge railway station in Cambridge, England.
-
B.
CBD
CBD is a non-intoxicating compound found in cannabis that is widely used for its potential therapeutic effects, such as reducing anxiety, pain, and inflammation.
-
C.
CB1 receptor
The CB1 receptor is a G protein–coupled cannabinoid receptor in the brain and nervous system that mediates most of the psychoactive effects of cannabis.
-
D.
THC
THC (tetrahydrocannabinol) is the primary psychoactive compound in cannabis responsible for the plant’s mind-altering effects.
-
E.
Corachol
Corachol is a subfamily of Uto-Aztecan languages that includes closely related indigenous languages spoken in western Mexico.
- 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_69a498f912008190a376a98b207b2071 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c2f314c081909c0ab80397d96abb |
completed | March 1, 2026, 10:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acd481de608190bed1dc385209320e |
completed | March 8, 2026, 1:44 a.m. |
Created at: March 1, 2026, 7:57 p.m.