Triple
T8554655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Netphen |
E202534
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object | Sieg |
E77328
|
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: Sieg | Statement: [Netphen, hasRiver, Sieg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sieg Context triple: [Netphen, hasRiver, Sieg]
-
A.
Sieg
chosen
The Sieg is a river in western Germany that flows through North Rhine-Westphalia and Rhineland-Palatinate before joining the Rhine.
-
B.
Siegl
Siegl is the surname of Zev Siegl, an American entrepreneur best known as one of the co-founders of Starbucks.
-
C.
Reinhard
Reinhard is a masculine German given name historically borne by several notable figures, including high-ranking officials in Nazi Germany.
-
D.
Heinrici
Heinrici is a German surname most notably associated with Gotthard Heinrici, a senior Wehrmacht general during World War II.
-
E.
Helmuth
Helmuth is a masculine given name of German origin, historically borne by several notable military and political figures.
- 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_69ca832610e08190b3b6c6cd2c250255 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe88a936c8190a0234bf7da2ff55a |
completed | March 31, 2026, 3:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce6dd67d288190a147562a99ecde56 |
completed | April 2, 2026, 1:23 p.m. |
Created at: March 30, 2026, 6:19 p.m.