Triple
T4240445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Mälaren |
E95397
|
entity |
| Predicate | hasUNLOCODE |
P1492
|
FINISHED |
| Object |
SEMAL
SEMAL is the UN/LOCODE designation for the port and transport location associated with Lake Mälaren in Sweden.
|
E424579
|
NE FINISHED |
How this triple was built (4 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: SEMAL | Statement: [Lake Mälaren, hasUNLOCODE, SEMAL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SEMAL Context triple: [Lake Mälaren, hasUNLOCODE, SEMAL]
-
A.
SEBL
SEBL was the stock ticker symbol for Siebel Systems, a prominent customer relationship management (CRM) software company later acquired by Oracle.
-
B.
Semin
Semin is a Russian surname most notably borne by former NHL winger Alexander Semin.
-
C.
SEGU
SEGU is the ICAO airport code for José Joaquín de Olmedo International Airport, the main air gateway serving Guayaquil, Ecuador.
-
D.
SED
SED was the ruling Marxist–Leninist party that governed East Germany (the German Democratic Republic) from its founding in 1949 until the end of communist rule in 1989.
-
E.
SEK
SEK is the official currency code for the Swedish krona, the national currency of Sweden.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: SEMAL Triple: [Lake Mälaren, hasUNLOCODE, SEMAL]
Generated description
SEMAL is the UN/LOCODE designation for the port and transport location associated with Lake Mälaren in Sweden.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SEMAL Target entity description: SEMAL is the UN/LOCODE designation for the port and transport location associated with Lake Mälaren in Sweden.
-
A.
SEBL
SEBL was the stock ticker symbol for Siebel Systems, a prominent customer relationship management (CRM) software company later acquired by Oracle.
-
B.
Semin
Semin is a Russian surname most notably borne by former NHL winger Alexander Semin.
-
C.
SEGU
SEGU is the ICAO airport code for José Joaquín de Olmedo International Airport, the main air gateway serving Guayaquil, Ecuador.
-
D.
SED
SED was the ruling Marxist–Leninist party that governed East Germany (the German Democratic Republic) from its founding in 1949 until the end of communist rule in 1989.
-
E.
SEK
SEK is the official currency code for the Swedish krona, the national currency of Sweden.
- F. None of above. chosen
Provenance (5 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_69b3453d91548190b4d4ef8fe52aa2ac |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34e77fb5c8190b298818acb68ff63 |
completed | March 12, 2026, 11:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5a86fe7708190a64ba187fb302c9a |
completed | March 14, 2026, 6:26 p.m. |
| NEDg | Description generation | batch_69b5a94e637881909a20bb1df0cd5768 |
completed | March 14, 2026, 6:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5a9d9b28081909d7dc97b02209318 |
completed | March 14, 2026, 6:32 p.m. |
Created at: March 12, 2026, 11:05 p.m.