Triple
T4349908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M23 |
E97997
|
entity |
| Predicate | roadNumber |
P1864
|
FINISHED |
| Object | M23 |
E97997
|
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: M23 | Statement: [M23, roadNumber, M23]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: M23 Context triple: [M23, roadNumber, M23]
-
A.
M23
chosen
M23 is a major motorway in South East England connecting London to Gatwick Airport and the Brighton area via the M25 and A23.
-
B.
S-23
S-23 is an International Hydrographic Organization publication that standardizes the naming and limits of the world’s oceans and seas.
-
C.
M26
The M26 is a U.S. World War II–era heavy/medium tank, commonly known as the M26 Pershing, that served as a precursor to the American Patton tank series.
-
D.
M-22
M-22 is a scenic state highway in Michigan renowned for its picturesque route along the Lake Michigan shoreline and through the Leelanau Peninsula near Traverse City.
-
E.
M-24
M-24 is a state highway in Michigan that serves as a key north–south transportation route through communities such as Orion Township.
- 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_69b3454965f881908c41190bb22f0e4b |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b351a840248190b88c8a7be9158d25 |
completed | March 12, 2026, 11:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5dbb01fb0819083fbdd194b2a96f8 |
completed | March 14, 2026, 10:05 p.m. |
Created at: March 12, 2026, 11:15 p.m.