Triple
T16396640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 3/1 |
E398199
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object | Lima Company |
E398203
|
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: Lima Company | Statement: [3/1, hasComponent, Lima Company]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lima Company Context triple: [3/1, hasComponent, Lima Company]
-
A.
Lima Company
chosen
Lima Company is a rifle company within the U.S. Marine Corps’ 3rd Battalion, 1st Marines, known for its infantry combat role.
-
B.
Nazca Corporation
Nazca Corporation was a Japanese video game developer best known for creating the run-and-gun arcade series Metal Slug before being absorbed into SNK.
-
C.
Lima Agricultural Works
Lima Agricultural Works was the original manufacturing company that evolved into the famed Lima Locomotive Works, an important American builder of steam locomotives.
-
D.
Nathaniel McKay Company
Nathaniel McKay Company was an architectural and engineering firm known for designing Guyana’s iconic Stabroek Market in Georgetown.
-
E.
Miramar Group
Miramar Group is a Taiwanese conglomerate best known for its investments in retail, entertainment, and hospitality, including major shopping and leisure complexes.
- 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_69d87f2950248190bc8ad9b9bebdc8c8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e327cb3c708190b64341cb1410ed81 |
completed | April 18, 2026, 6:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00357838a88190be88c51f454be6eb |
completed | May 10, 2026, 7:36 a.m. |
Created at: April 10, 2026, 5:09 a.m.