Triple
T4312940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Four Marks |
E94115
|
entity |
| Predicate | hasPostcodeArea |
P920
|
FINISHED |
| Object | GU |
E3536
|
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: GU | Statement: [Four Marks, hasPostcodeArea, GU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GU Context triple: [Four Marks, hasPostcodeArea, GU]
-
A.
GU
chosen
GU is the two-letter ISO 3166 country code assigned to Guam, an unincorporated territory of the United States in the western Pacific Ocean.
-
B.
GN
GN is a fast, meta-build system tool used primarily by the Chromium project to generate build files for Ninja.
-
C.
GD
GD is the stock ticker symbol for General Dynamics, a major American aerospace and defense corporation.
-
D.
GD
GD is the vehicle registration code used on license plates for cars registered in the city of Gdańsk, Poland.
-
E.
GG
GG was the original designation for New York City's G subway service, a crosstown line that runs through Brooklyn and Queens without entering Manhattan.
- 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_69b3451886588190a3dd1305ea7c58dc |
completed | March 12, 2026, 10:58 p.m. |
| NER | Named-entity recognition | batch_69b350d8bff88190bcf7dd419d5f4312 |
completed | March 12, 2026, 11:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5c75f30f48190ab030d635bd334af |
completed | March 14, 2026, 8:38 p.m. |
Created at: March 12, 2026, 11:12 p.m.