Triple
T11603282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qormi |
E275185
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object |
Żebbuġ
Żebbuġ is a historic town in central Malta known for its traditional architecture, parish church, and long-standing role in the island’s cultural and religious life.
|
E994143
|
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: Żebbuġ | Statement: [Qormi, borderedBy, Żebbuġ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Żebbuġ Context triple: [Qormi, borderedBy, Żebbuġ]
-
A.
Sliema
Sliema is a coastal town in Malta known for its seafront promenade, shopping, and role as a major residential and commercial hub near the capital Valletta.
-
B.
Qormi
Qormi is a historic town in central Malta known for its traditional bakeries, wine-making, and religious feasts.
-
C.
Balzan
Balzan is a small, traditional Maltese village in the Central Region known for its quiet residential character and historic churches.
-
D.
Mtarfa
Mtarfa is a small historic town in central Malta known for its former British military barracks, clock tower, and panoramic views over the surrounding countryside.
-
E.
Valletta
Valletta is a historic fortified port city on the island of Malta, renowned for its Baroque architecture and status as a UNESCO World Heritage Site.
- 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: Żebbuġ Triple: [Qormi, borderedBy, Żebbuġ]
Generated description
Żebbuġ is a historic town in central Malta known for its traditional architecture, parish church, and long-standing role in the island’s cultural and religious life.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Żebbuġ Target entity description: Żebbuġ is a historic town in central Malta known for its traditional architecture, parish church, and long-standing role in the island’s cultural and religious life.
-
A.
Sliema
Sliema is a coastal town in Malta known for its seafront promenade, shopping, and role as a major residential and commercial hub near the capital Valletta.
-
B.
Qormi
Qormi is a historic town in central Malta known for its traditional bakeries, wine-making, and religious feasts.
-
C.
Balzan
Balzan is a small, traditional Maltese village in the Central Region known for its quiet residential character and historic churches.
-
D.
Mtarfa
Mtarfa is a small historic town in central Malta known for its former British military barracks, clock tower, and panoramic views over the surrounding countryside.
-
E.
Valletta
Valletta is a historic fortified port city on the island of Malta, renowned for its Baroque architecture and status as a UNESCO World Heritage Site.
- 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_69d6aaf84b548190ac072e4fb89ae18f |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8954daa908190a8d532e43aa4a881 |
completed | April 10, 2026, 6:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f668479b188190ae720e77fbf6897f |
completed | May 2, 2026, 9:10 p.m. |
| NEDg | Description generation | batch_69f669527fe881909baeb84ccff506c8 |
completed | May 2, 2026, 9:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f669fe4bc48190adba50ad58b10c45 |
completed | May 2, 2026, 9:17 p.m. |
Created at: April 8, 2026, 9:38 p.m.