Triple
T5363280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andromeda subgroup |
E103070
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | M32 |
E100923
|
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: M32 | Statement: [Andromeda subgroup, hasMember, M32]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: M32 Context triple: [Andromeda subgroup, hasMember, M32]
-
A.
M32
chosen
M32 is a compact dwarf elliptical galaxy that orbits the Andromeda Galaxy within the Local Group.
-
B.
M3
M3 is a boat line that operates as part of Geneva’s public transport network, providing passenger service across the city’s lake or waterways.
-
C.
M3
M3 is a circular line of the Copenhagen Metro that loops around the city center, connecting key districts and interchange stations.
-
D.
M3
M3 is a major motorway in the United Kingdom that connects London to Southampton, serving as a key route through southern England.
-
E.
M-37
M-37 is a state highway in Michigan that runs up the Old Mission Peninsula, providing scenic access between Traverse City and the peninsula’s vineyards, orchards, and shoreline.
- 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_69bd43daa3e4819090b59d127db70e57 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd865b9b808190a1e8c283ba28d645 |
completed | March 20, 2026, 5:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf21f2bc708190b596c5402fa07e75 |
completed | March 21, 2026, 10:55 p.m. |
Created at: March 20, 2026, 2:02 p.m.