Triple
T14095217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chief of the General Staff (Canada) |
E339235
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | CGS |
E528737
|
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: CGS | Statement: [Chief of the General Staff (Canada), shortName, CGS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CGS Context triple: [Chief of the General Staff (Canada), shortName, CGS]
-
A.
CGS
CGS is the IATA airport code for College Park Airport, a historic general aviation airfield in College Park, Maryland, USA.
-
B.
CGS
chosen
CGS is the acronym for the Chief of the General Staff, the professional head of the British Army.
-
C.
CGS
CGS is an astronomical survey project focused on detailed optical imaging and analysis of nearby galaxies conducted by the Carnegie-Irvine collaboration.
-
D.
CGS
CGS is the common abbreviation for the California Golden Seals, a former National Hockey League team based in the San Francisco Bay Area that played from 1967 to 1976.
-
E.
KCGS
KCGS is the ICAO airport code for College Park Airport, a historic general aviation airfield located in College Park, Maryland, USA.
- 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_69d81c69b5c8819094aa1abf18302908 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5fb7fb3c819083266dbe7e93aaff |
completed | April 14, 2026, 3:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcd0ac02488190b2114eb63ec604c3 |
completed | May 7, 2026, 5:49 p.m. |
Created at: April 9, 2026, 10:22 p.m.