Triple
T3351372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Krimpen aan den IJssel |
E70499
|
entity |
| Predicate | hasBridge |
P386
|
FINISHED |
| Object | Algerabrug |
E166830
|
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: Algerabrug | Statement: [Krimpen aan den IJssel, hasBridge, Algerabrug]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Algerabrug Context triple: [Krimpen aan den IJssel, hasBridge, Algerabrug]
-
A.
ALG
ALG is the IATA airport code for Houari Boumediene Airport, the main international airport serving Algiers, Algeria.
-
B.
Albini
Albini is an Italian surname most notably associated with influential recording engineer and musician Steve Albini.
-
C.
Algerasluis
chosen
Algerasluis is a lock complex in the Netherlands that regulates water levels and shipping traffic on the Hollandsche IJssel near Rotterdam.
-
D.
Alben
Alben is a masculine given name most notably borne by Alben W. Barkley, the 35th vice president of the United States under President Harry S. Truman.
-
E.
Ali G
Ali G is a satirical fictional character created and portrayed by comedian Sacha Baron Cohen, known for parodying hip-hop culture and conducting absurd, provocative interviews.
- 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_69ad85a4ef7c8190a29e2bbd6fa454e4 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb220721c81909eb4d8d35c923927 |
completed | March 8, 2026, 5:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3252f3f248190bb61db5c4fd2781a |
completed | March 12, 2026, 8:42 p.m. |
Created at: March 8, 2026, 3:12 p.m.