Triple
T21513856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ustka lighthouse |
E530793
|
entity |
| Predicate | locatedAtMouthOf |
P165
|
FINISHED |
| Object | port of Ustka |
—
|
NE NERFINISHED |
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: port of Ustka | Statement: [Ustka lighthouse, locatedAtMouthOf, port of Ustka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: port of Ustka Context triple: [Ustka lighthouse, locatedAtMouthOf, port of Ustka]
-
A.
Port of Ustka
chosen
The Port of Ustka is a small seaport on Poland’s Baltic Sea coast, serving primarily fishing, local maritime traffic, and tourism.
-
B.
Port of Karlovasi
The Port of Karlovasi is a key ferry and commercial harbor on the northwest coast of Samos, Greece, serving as an important maritime gateway for passengers and goods in the northern Aegean.
-
C.
Port of Rijeka
The Port of Rijeka is Croatia’s largest seaport and a major Adriatic maritime hub for cargo and passenger transport.
-
D.
Kraljevica port
Kraljevica port is a coastal harbor in the town of Kraljevica, Croatia, serving local maritime traffic and tourism on the Adriatic Sea.
-
E.
Sasa Port
Sasa Port is a major seaport and cargo gateway serving Davao City and the surrounding region in southeastern Mindanao, Philippines.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c45c81f08190a6b8bbb70a45aae7 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea88e6fc8190a4b73b8d32dae5a8 |
completed | April 23, 2026, 9:46 a.m. |
Created at: April 16, 2026, 6:25 p.m.