Triple
T12968914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Żebbuġ, Malta |
E321341
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Luqa |
E939948
|
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: Luqa | Statement: [Żebbuġ, Malta, borderedBy, Luqa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luqa Context triple: [Żebbuġ, Malta, borderedBy, Luqa]
-
A.
Luqa
chosen
Luqa is a village in the Central Region of Malta best known for hosting the island’s main international airport, Malta International Airport.
-
B.
Liluah
Liluah is a suburban locality in the Howrah district of West Bengal, India, known for its residential areas and railway facilities near Kolkata.
-
C.
Lakalai
Lakalai is an Oceanic language spoken by an indigenous community in Papua New Guinea.
-
D.
Doala
Doala is the acrobatic blue koala mascot of Japan’s Chunichi Dragons baseball team, known for his comedic backflips and eccentric performances.
-
E.
Lasbela
Lasbela is a coastal district and city in Pakistan’s Balochistan province, known for its strategic location near Karachi and its mix of industrial, agricultural, and fishing activities.
- 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_69d80763bd6c819094437da5b20b01d2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e407e5081909424fc0c22483c28 |
completed | April 10, 2026, 10:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6b8e6b31c8190b09276003f284f25 |
completed | May 3, 2026, 2:54 a.m. |
Created at: April 9, 2026, 8:33 p.m.