Triple
T154660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lisbon |
E3151
|
entity |
| Predicate | river |
P165
|
FINISHED |
| Object | Tagus River |
E24137
|
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: Tagus River | Statement: [Lisbon, river, Tagus River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tagus River Context triple: [Lisbon, river, Tagus River]
-
A.
Tagus River
chosen
The Tagus River is the longest river on the Iberian Peninsula, flowing from central Spain through Portugal to the Atlantic Ocean.
-
B.
Rhine
The Rhine is one of Europe's most important rivers, historically serving as a vital trade route and cultural boundary from the Alps through Germany to the North Sea.
-
C.
Choapa River
The Choapa River is a significant watercourse in north-central Chile that flows through the Coquimbo Region toward the Pacific Ocean, supporting local agriculture and settlements along its basin.
-
D.
River Seine
The River Seine is a major waterway in northern France that flows through the heart of Paris and is central to the city's history, culture, and landscape.
-
E.
Tiber
The Tiber is the historic river in central Italy that flows through Rome and played a crucial role in the city's founding, development, and trade.
- 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_69a2527757ec819090b8becb2cf1a862 |
completed | Feb. 28, 2026, 2:27 a.m. |
| NER | Named-entity recognition | batch_69a2582d25448190931c2d785e678a8a |
completed | Feb. 28, 2026, 2:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a30cc33a10819087668612b65e1eb5 |
completed | Feb. 28, 2026, 3:41 p.m. |
Created at: Feb. 28, 2026, 2:31 a.m.