Triple
T22999982
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coma Berenices |
E572607
|
entity |
| Predicate | containsGlobularCluster |
P22855
|
FINISHED |
| Object | M53 |
—
|
NE NERFINISHED |
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: M53 | Statement: [Coma Berenices, containsGlobularCluster, M53]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: M53 Context triple: [Coma Berenices, containsGlobularCluster, M53]
-
A.
M53
chosen
M53 is a bright, compact globular star cluster located in the constellation Coma Berenices, notable for being one of the more distant globular clusters in the Milky Way.
-
B.
M53
M53 is a major motorway in North West England that connects the Wirral Peninsula with the M56 near Chester, facilitating regional traffic flow.
-
C.
M-53
M-53 is a state highway in Michigan that runs north–south through the Detroit metropolitan area and into Michigan’s Thumb region.
-
D.
M55
M55 is a New York City bus route that provides public transit service connecting to the Whitehall Terminal area in Lower Manhattan.
-
E.
M55
M55 is a bright, loosely concentrated globular star cluster in the constellation Sagittarius, visible in small telescopes and often studied for its relatively metal-poor stellar population.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245b6a3ac81908087599eefe3e365 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f182f6484c8190bfe3f7ea894c43d8 |
completed | April 29, 2026, 4:03 a.m. |
Created at: April 17, 2026, 3:50 p.m.