Triple
T727633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | European Space Agency |
E14761
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Malta |
E9342
|
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: Malta | Statement: [European Space Agency, hasMember, Malta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Malta Context triple: [European Space Agency, hasMember, Malta]
-
A.
Malta
chosen
Malta is a small island nation in the central Mediterranean known for its rich history, strategic location, and membership in the European Union.
-
B.
San Marino
San Marino is a small, landlocked microstate surrounded by Italy, known as one of the world’s oldest republics and a popular tourist destination.
-
C.
San Marino
San Marino is a small, affluent residential city in Los Angeles County, California, known for its high-ranking schools and the Huntington Library, Art Museum, and Botanical Gardens.
-
D.
Gozo
Gozo is the second-largest island of the Maltese archipelago, known for its rural charm, historic sites, and scenic coastline in the Mediterranean Sea.
-
E.
Cyprus
Cyprus is an island country in the Eastern Mediterranean known for its strategic location, divided capital Nicosia, and blend of Greek and Turkish cultural influences.
- 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_69a4934c753c81909b309027e48b9b3a |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a5c011948190b2cfccd8fe722742 |
completed | March 1, 2026, 8:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a66d936bbc81908708ee5d0fc82100 |
completed | March 3, 2026, 5:11 a.m. |
Created at: March 1, 2026, 7:37 p.m.