Triple
T715358
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand Rapids Public Museum |
E14301
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
GRPM
GRPM is a regional museum in Grand Rapids, Michigan, known for its exhibits on local history, science, and culture.
|
E84681
|
NE FINISHED |
How this triple was built (4 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: GRPM | Statement: [Grand Rapids Public Museum, shortName, GRPM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GRPM Context triple: [Grand Rapids Public Museum, shortName, GRPM]
-
A.
GPC
GPC is the GNU Pascal Compiler, a free, open-source Pascal compiler that is part of the GNU Compiler Collection (GCC) project.
-
B.
GRG
GRG is the standard abbreviation for the Grand Rapids Griffins, a professional ice hockey team in the American Hockey League.
-
C.
GPO
GPO is the common abbreviation for the United States Government Publishing Office, the federal agency responsible for producing and distributing information products and services for all branches of the U.S. government.
-
D.
GR-F
GR-F is the ISO 3166-2 regional code assigned to the Greek administrative region of Thessaly.
-
E.
GAC
The GAC is a committee within the Internet Corporation for Assigned Names and Numbers (ICANN) that provides governments and intergovernmental organizations with a formal voice in global internet governance and policy development.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: GRPM Triple: [Grand Rapids Public Museum, shortName, GRPM]
Generated description
GRPM is a regional museum in Grand Rapids, Michigan, known for its exhibits on local history, science, and culture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: GRPM Target entity description: GRPM is a regional museum in Grand Rapids, Michigan, known for its exhibits on local history, science, and culture.
-
A.
GPC
GPC is the GNU Pascal Compiler, a free, open-source Pascal compiler that is part of the GNU Compiler Collection (GCC) project.
-
B.
GRG
GRG is the standard abbreviation for the Grand Rapids Griffins, a professional ice hockey team in the American Hockey League.
-
C.
GPO
GPO is the common abbreviation for the United States Government Publishing Office, the federal agency responsible for producing and distributing information products and services for all branches of the U.S. government.
-
D.
GR-F
GR-F is the ISO 3166-2 regional code assigned to the Greek administrative region of Thessaly.
-
E.
GAC
The GAC is a committee within the Internet Corporation for Assigned Names and Numbers (ICANN) that provides governments and intergovernmental organizations with a formal voice in global internet governance and policy development.
- F. None of above. chosen
Provenance (5 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_69a4934a36e081909e7abef98b898a4e |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a574b4d881908b6d0be386081efd |
completed | March 1, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a5dcb5578c8190b5380f1994fdb4d2 |
completed | March 2, 2026, 6:53 p.m. |
| NEDg | Description generation | batch_69a601200cb08190927e83db83b3affe |
completed | March 2, 2026, 9:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a601b8ee908190b7e617efe34f3d7a |
completed | March 2, 2026, 9:31 p.m. |
Created at: March 1, 2026, 7:37 p.m.