Triple
T1598628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Alabama |
E34339
|
entity |
| Predicate | transportHub |
P726
|
FINISHED |
| Object | Port of Mobile |
E76144
|
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: Port of Mobile | Statement: [South Alabama, transportHub, Port of Mobile]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Port of Mobile Context triple: [South Alabama, transportHub, Port of Mobile]
-
A.
Port of Mobile
chosen
The Port of Mobile is a major deep-water seaport in Alabama that serves as a key hub for international trade, shipping, and transportation infrastructure in the southeastern United States.
-
B.
Manchester Harbor
Manchester Harbor is a scenic coastal inlet and boating harbor in Manchester-by-the-Sea, Massachusetts, known for its sheltered waters and picturesque New England shoreline.
-
C.
Biloxi
Biloxi is a coastal Mississippi city known for its beaches, casinos, and seafood industry along the Gulf of Mexico.
-
D.
Port of Savannah
The Port of Savannah is one of the busiest and fastest-growing container seaports in the United States, serving as a major logistics and trade hub on the U.S. East Coast.
-
E.
Port of Corpus Christi
The Port of Corpus Christi is one of the largest and busiest U.S. seaports, serving as a major hub for energy exports and industrial shipping on the Texas coast.
- 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_69a885fdcb9c819081ce6f0b8cd477dd |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a90948ddb08190a6fc0597198a7946 |
completed | March 5, 2026, 4:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad51b9c6588190810ede38d9e714e2 |
completed | March 8, 2026, 10:38 a.m. |
Created at: March 4, 2026, 7:27 p.m.