Triple
T9046994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Brindisi |
E216777
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Oria
Oria is a historic town in Italy’s Apulia region, known for its medieval castle, ancient Messapian roots, and well-preserved old town.
|
E774405
|
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: Oria | Statement: [Province of Brindisi, contains, Oria]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oria Context triple: [Province of Brindisi, contains, Oria]
-
A.
Orovada
Orovada is a small unincorporated rural community in northern Nevada known for its agricultural surroundings and location along U.S. Route 95.
-
B.
Orya
Orya is the ISO 15924 script code representing the Odia script used for writing the Odia language of eastern India.
-
C.
Kadaru
Kadaru is a Nubian language spoken by the Kadaru people in parts of Sudan.
-
D.
Ambam
Ambam is a town in Cameroon's South Region, near the borders with Gabon and Equatorial Guinea, known as a local administrative and trading center.
-
E.
Amdanga
Amdanga is a town in the North 24 Parganas district of the Indian state of West Bengal, known primarily as a semi-rural locality within the Kolkata metropolitan region.
- 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: Oria Triple: [Province of Brindisi, contains, Oria]
Generated description
Oria is a historic town in Italy’s Apulia region, known for its medieval castle, ancient Messapian roots, and well-preserved old town.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Oria Target entity description: Oria is a historic town in Italy’s Apulia region, known for its medieval castle, ancient Messapian roots, and well-preserved old town.
-
A.
Orovada
Orovada is a small unincorporated rural community in northern Nevada known for its agricultural surroundings and location along U.S. Route 95.
-
B.
Orya
Orya is the ISO 15924 script code representing the Odia script used for writing the Odia language of eastern India.
-
C.
Kadaru
Kadaru is a Nubian language spoken by the Kadaru people in parts of Sudan.
-
D.
Ambam
Ambam is a town in Cameroon's South Region, near the borders with Gabon and Equatorial Guinea, known as a local administrative and trading center.
-
E.
Amdanga
Amdanga is a town in the North 24 Parganas district of the Indian state of West Bengal, known primarily as a semi-rural locality within the Kolkata metropolitan region.
- 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_69ca83d362e88190ae44b4e4dc194209 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc6b4e4b888190a425e29b193b506f |
completed | April 1, 2026, 12:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfebb7f668819099125ab727cd50b1 |
completed | April 3, 2026, 4:32 p.m. |
| NEDg | Description generation | batch_69cfed8970448190b3deac1d8f46c639 |
completed | April 3, 2026, 4:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfedf299908190852cc627fd7134b9 |
completed | April 3, 2026, 4:42 p.m. |
Created at: March 30, 2026, 7:09 p.m.