Triple
T14946179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Corona–North Main station |
E372667
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object | CNM |
E613983
|
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: CNM | Statement: [Corona–North Main station, hasStationCode, CNM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CNM Context triple: [Corona–North Main station, hasStationCode, CNM]
-
A.
CNM
chosen
CNM is the National Rail station code for Cheltenham Spa railway station in Gloucestershire, England.
-
B.
CNM
CNM is a public community college in Albuquerque, New Mexico, offering a wide range of associate degrees, certificates, and workforce training programs.
-
C.
CNM
CNM is the IATA airport code for Cavern City Air Terminal, a public airport serving Carlsbad, New Mexico, near Carlsbad Caverns National Park.
-
D.
CNM
CNM (Congestion Notification Message) is a control message used in IEEE 802.1Qau to signal and manage network congestion in Ethernet-based data center networks.
-
E.
NMMNHS
NMMNHS is a museum in Albuquerque dedicated to preserving and interpreting New Mexico’s natural history and scientific heritage through exhibits, research, and educational programs.
- 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_69d85cca979481908747d2a81eba1cea |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded68e35c481908e47cd68441c5115 |
completed | April 15, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe7e963c548190b3a06ffbbb3298b2 |
completed | May 9, 2026, 12:23 a.m. |
Created at: April 10, 2026, 2:39 a.m.