Triple
T13206567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alpena |
E314380
|
entity |
| Predicate | roadServedBy |
P385
|
FINISHED |
| Object | M-32 |
E680766
|
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: M-32 | Statement: [Alpena, roadServedBy, M-32]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: M-32 Context triple: [Alpena, roadServedBy, M-32]
-
A.
M-32
chosen
M-32 is an east–west state trunkline highway in northern Michigan that connects several inland communities across the northern Lower Peninsula.
-
B.
M32
M32 is a compact dwarf elliptical galaxy that orbits the Andromeda Galaxy within the Local Group.
-
C.
M32R
M32R is a 32-bit RISC microprocessor architecture developed by Mitsubishi (later Renesas) for embedded systems and low-power applications.
-
D.
M-3
M-3 is a designated highway route, commonly known by its short name M-3, within a regional or national road network.
-
E.
M-52
M-52 is a state highway in Michigan that runs north–south through several counties, serving as an important regional route for local and through traffic.
- 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_69d806aee7308190b70a237ba2a6e3e1 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c9b0cf08190a1d71cc94139539d |
completed | April 10, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6f60eee288190bdb3ed6110394e48 |
completed | May 3, 2026, 7:15 a.m. |
Created at: April 9, 2026, 9:17 p.m.