Triple
T15567733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ovar |
E374158
|
entity |
| Predicate | hasAdministrativeDivision |
P747
|
FINISHED |
| Object |
Arada
Arada is a civil parish that forms part of the municipality of Ovar in Portugal.
|
E1165523
|
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: Arada | Statement: [Ovar, hasAdministrativeDivision, Arada]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arada Context triple: [Ovar, hasAdministrativeDivision, Arada]
-
A.
Arada district
Arada district is a central administrative area of Addis Ababa, Ethiopia, known for its historic neighborhoods, cultural landmarks, and governmental institutions.
-
B.
Ostiano
Ostiano is a small town in the Lombardy region of northern Italy, known as the birthplace of the Baroque painter Bartolomeo Manfredi.
-
C.
Torino di Sangro
Torino di Sangro is a small coastal town in Italy’s Abruzzo region, known for its Adriatic beaches, natural landscapes, and nearby World War II cemetery.
-
D.
Acerra
Acerra is a historic town and municipality in Italy’s Campania region, situated inland from Naples and known for its ancient origins and industrial-residential character.
-
E.
Sępopol
Sępopol is a small historic town in northern Poland, located near the border with Russia’s Kaliningrad Oblast.
- 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: Arada Triple: [Ovar, hasAdministrativeDivision, Arada]
Generated description
Arada is a civil parish that forms part of the municipality of Ovar in Portugal.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Arada Target entity description: Arada is a civil parish that forms part of the municipality of Ovar in Portugal.
-
A.
Arada district
Arada district is a central administrative area of Addis Ababa, Ethiopia, known for its historic neighborhoods, cultural landmarks, and governmental institutions.
-
B.
Ostiano
Ostiano is a small town in the Lombardy region of northern Italy, known as the birthplace of the Baroque painter Bartolomeo Manfredi.
-
C.
Torino di Sangro
Torino di Sangro is a small coastal town in Italy’s Abruzzo region, known for its Adriatic beaches, natural landscapes, and nearby World War II cemetery.
-
D.
Acerra
Acerra is a historic town and municipality in Italy’s Campania region, situated inland from Naples and known for its ancient origins and industrial-residential character.
-
E.
Sępopol
Sępopol is a small historic town in northern Poland, located near the border with Russia’s Kaliningrad Oblast.
- 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_69d85ccd575081908909b71a3f3e3a61 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04dde90b081908284d9258d4462e3 |
completed | April 16, 2026, 2:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff4c4219a081909acca9f783ecd44b |
completed | May 9, 2026, 3:01 p.m. |
| NEDg | Description generation | batch_69ff50d54960819089491ccb580784b8 |
completed | May 9, 2026, 3:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff5208e9a08190b4a6f4157cf3c237 |
completed | May 9, 2026, 3:26 p.m. |
Created at: April 10, 2026, 4:10 a.m.