Triple
T4237163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gallura |
E94721
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
San Teodoro
San Teodoro is a popular coastal resort town in northeastern Sardinia, Italy, known for its white-sand beaches and vibrant summer tourism.
|
E423865
|
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: San Teodoro | Statement: [Gallura, containsCity, San Teodoro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: San Teodoro Context triple: [Gallura, containsCity, San Teodoro]
-
A.
Malpaso
Malpaso is the highest peak on the Canary Island of El Hierro, known for its panoramic views over the island and surrounding Atlantic Ocean.
-
B.
Sta. Cruz
Sta. Cruz is a coastal municipality in the province of Zambales in the Philippines, known for its fishing communities and proximity to the West Philippine Sea.
-
C.
Canlaon
Canlaon is a city in the Philippines known for its proximity to Mount Kanlaon, an active volcano and prominent natural landmark on Negros Island.
-
D.
Surigaonon
Surigaonon is a Visayan language spoken primarily in the Caraga region of northeastern Mindanao in the Philippines.
-
E.
Plaridel
Plaridel is a municipality in the province of Bulacan in the Philippines, known for its historical significance and proximity to Metro Manila.
- 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: San Teodoro Triple: [Gallura, containsCity, San Teodoro]
Generated description
San Teodoro is a popular coastal resort town in northeastern Sardinia, Italy, known for its white-sand beaches and vibrant summer tourism.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: San Teodoro Target entity description: San Teodoro is a popular coastal resort town in northeastern Sardinia, Italy, known for its white-sand beaches and vibrant summer tourism.
-
A.
Malpaso
Malpaso is the highest peak on the Canary Island of El Hierro, known for its panoramic views over the island and surrounding Atlantic Ocean.
-
B.
Sta. Cruz
Sta. Cruz is a coastal municipality in the province of Zambales in the Philippines, known for its fishing communities and proximity to the West Philippine Sea.
-
C.
Canlaon
Canlaon is a city in the Philippines known for its proximity to Mount Kanlaon, an active volcano and prominent natural landmark on Negros Island.
-
D.
Surigaonon
Surigaonon is a Visayan language spoken primarily in the Caraga region of northeastern Mindanao in the Philippines.
-
E.
Plaridel
Plaridel is a municipality in the province of Bulacan in the Philippines, known for its historical significance and proximity to Metro Manila.
- 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_69b34537cc6481909cd0a96acbb33ef7 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34e7589b48190a16e7ff29fb6a162 |
completed | March 12, 2026, 11:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5a86996f48190987d3ac234a9b7f4 |
completed | March 14, 2026, 6:26 p.m. |
| NEDg | Description generation | batch_69b5a9f58de48190b6f2f56804bc6d30 |
completed | March 14, 2026, 6:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5aabd2080819091d65362cf02120b |
completed | March 14, 2026, 6:36 p.m. |
Created at: March 12, 2026, 11:05 p.m.