Triple
T5882660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Petra, Mallorca, Spain |
E130784
|
entity |
| Predicate | nearbyTown |
P3883
|
FINISHED |
| Object |
Sineu
Sineu is a historic inland town on the Spanish island of Mallorca, known for its traditional weekly market and well-preserved medieval architecture.
|
E553061
|
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: Sineu | Statement: [Petra, Mallorca, Spain, nearbyTown, Sineu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sineu Context triple: [Petra, Mallorca, Spain, nearbyTown, Sineu]
-
A.
Senglea
Senglea is a historic fortified city in Malta, renowned for its strategic role and heavy fortifications during the 1565 Great Siege of Malta.
-
B.
La Marsa
La Marsa is a coastal suburb of Tunis in northern Tunisia, known for its beaches, upscale residential areas, and historic seaside charm.
-
C.
Ispica
Ispica is a historic town in southeastern Sicily, Italy, known for its Baroque architecture and nearby archaeological and natural sites such as the Cava d’Ispica.
-
D.
Żejtun
Żejtun is a historic town in southeastern Malta known for its traditional architecture, olive-growing heritage, and prominent parish church.
-
E.
Kerċem
Kerċem is a small village on the island of Gozo in Malta, known for its rural landscapes and traditional Maltese character.
- 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: Sineu Triple: [Petra, Mallorca, Spain, nearbyTown, Sineu]
Generated description
Sineu is a historic inland town on the Spanish island of Mallorca, known for its traditional weekly market and well-preserved medieval architecture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sineu Target entity description: Sineu is a historic inland town on the Spanish island of Mallorca, known for its traditional weekly market and well-preserved medieval architecture.
-
A.
Senglea
Senglea is a historic fortified city in Malta, renowned for its strategic role and heavy fortifications during the 1565 Great Siege of Malta.
-
B.
La Marsa
La Marsa is a coastal suburb of Tunis in northern Tunisia, known for its beaches, upscale residential areas, and historic seaside charm.
-
C.
Ispica
Ispica is a historic town in southeastern Sicily, Italy, known for its Baroque architecture and nearby archaeological and natural sites such as the Cava d’Ispica.
-
D.
Żejtun
Żejtun is a historic town in southeastern Malta known for its traditional architecture, olive-growing heritage, and prominent parish church.
-
E.
Kerċem
Kerċem is a small village on the island of Gozo in Malta, known for its rural landscapes and traditional Maltese character.
- 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_69c0085628dc8190b334c1b44c067efc |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03673ecd88190978993056b675259 |
completed | March 22, 2026, 6:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0b13330c88190b10f33843f10f51f |
completed | March 23, 2026, 3:19 a.m. |
| NEDg | Description generation | batch_69c0b2442bf881908aeaecb46463e32d |
completed | March 23, 2026, 3:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0b2bc8b9c8190ab642d317056b1de |
completed | March 23, 2026, 3:25 a.m. |
Created at: March 22, 2026, 3:57 p.m.