Triple
T1567855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uruguay River |
E33471
|
entity |
| Predicate | hasCityOnBank |
P7935
|
FINISHED |
| Object | Concordia |
E176680
|
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: Concordia | Statement: [Uruguay River, hasCityOnBank, Concordia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Concordia Context triple: [Uruguay River, hasCityOnBank, Concordia]
-
A.
Concordia
Concordia is a municipality in the Mexican state of Sinaloa, known for its colonial architecture and traditional crafts.
-
B.
Concordia
Concordia is the original Latin title of the Book of Concord, the foundational collection of Lutheran confessional writings published in 1580.
-
C.
Concordia
Concordia is a residential neighborhood in Northeast Portland, Oregon, known for its tree-lined streets, diverse community, and proximity to local parks and schools.
-
D.
Concordia
chosen
Concordia is a significant city in the Mesopotamia region of northeastern Argentina, known for its agriculture, citrus production, and location along the Uruguay River.
-
E.
Carleton
Carleton is a federal electoral district in Ontario, Canada, represented in the House of Commons and encompassing parts of the rural and suburban areas around Ottawa.
- 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_69a885f11b048190935025a035302715 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a908a0314c8190a5ce3e32dd9035db |
completed | March 5, 2026, 4:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad371b99fc8190b8af03444fd1252b |
completed | March 8, 2026, 8:45 a.m. |
Created at: March 4, 2026, 7:27 p.m.