Triple
T2005513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SR 74 (Georgia) |
E43571
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | SR 74 |
E43571
|
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: SR 74 | Statement: [SR 74 (Georgia), abbreviation, SR 74]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SR 74 Context triple: [SR 74 (Georgia), abbreviation, SR 74]
-
A.
SR 74
chosen
SR 74 is a state highway in Georgia that runs southwest–northeast, connecting communities south of Columbus to the Macon area and serving as an important regional route.
-
B.
SR 4
SR 4 is a state highway in New Mexico that runs through the Jemez Mountains, providing access to scenic areas, small communities, and nearby national monuments.
-
C.
M-346 trainer aircraft
The M-346 is an advanced jet trainer and light attack aircraft designed for lead-in fighter training and tactical roles, widely used by several air forces worldwide.
-
D.
S-44
S-44 is an International Hydrographic Organization standard that defines the accuracy and quality requirements for hydrographic surveys used in nautical charting and marine navigation.
-
E.
Sully Wing
Sully Wing is one of the main historic wings of the Louvre Museum in Paris, housing collections such as ancient Near Eastern antiquities and French paintings.
- 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_69a88715dbbc8190b2299e29e955d997 |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb898795481909920c1a4c4d62c2d |
completed | March 7, 2026, 5:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae0adedd388190a09361c3e69a4ed5 |
completed | March 8, 2026, 11:48 p.m. |
Created at: March 4, 2026, 7:37 p.m.