Triple
T1584079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mobile, Alabama |
E34031
|
entity |
| Predicate | locatedOnRiver |
P165
|
FINISHED |
| Object | Mobile River |
E174358
|
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: Mobile River | Statement: [Mobile, Alabama, locatedOnRiver, Mobile River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mobile River Context triple: [Mobile, Alabama, locatedOnRiver, Mobile River]
-
A.
Mobile River
chosen
The Mobile River is a major waterway in southwestern Alabama that flows into Mobile Bay and serves as an important channel for commerce and transportation.
-
B.
Pages River
Pages River is a minor river in New South Wales, Australia, that forms part of the Hunter River catchment.
-
C.
Ourthe River
The Ourthe River is a major watercourse in southeastern Belgium that flows through the Ardennes region before joining the Meuse River.
-
D.
Tech River
Tech River is a river in southern France that flows through the Pyrénées-Orientales department before emptying into the Mediterranean Sea.
-
E.
River Suck
River Suck is a major river in western Ireland that flows through counties such as Roscommon and Galway before joining the River Shannon.
- 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_69a885fceb2c8190b47e0f7c0aefbff0 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a908f0e72c8190bb7a2a0c77379060 |
completed | March 5, 2026, 4:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad4698cde88190a113cb7cebc3df1e |
completed | March 8, 2026, 9:51 a.m. |
Created at: March 4, 2026, 7:27 p.m.