Triple
T11208397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dorado municipality |
E265234
|
entity |
| Predicate | roadAccessFrom |
P22549
|
FINISHED |
| Object |
San Juan
San Juan is the capital and largest city of Puerto Rico, serving as its main political, cultural, and economic center.
|
E663
|
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 Juan | Statement: [Dorado municipality, roadAccessFrom, San Juan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: San Juan Context triple: [Dorado municipality, roadAccessFrom, San Juan]
-
A.
San Juan
San Juan is an Argentine wine-producing region recognized for its significant Malbec production.
-
B.
San Juan
San Juan is a suburban town in Trinidad and Tobago located just east of the capital, Port of Spain, known for its bustling commercial activity and residential communities.
-
C.
San Juan
San Juan is a highly urbanized city in Metro Manila, Philippines, known for its historical sites, dense residential and commercial areas, and role in the capital region’s urban core.
-
D.
San Juan
San Juan is a coastal municipality on Siquijor Island in the Philippines known for its beaches, dive spots, and laid-back tourist resorts.
-
E.
San Juan
San Juan is a common Spanish surname shared by various individuals of Hispanic heritage.
- 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 Juan Triple: [Dorado municipality, roadAccessFrom, San Juan]
Generated description
San Juan is the capital and largest city of Puerto Rico, serving as its main political, cultural, and economic center.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: San Juan Target entity description: San Juan is the capital and largest city of Puerto Rico, serving as its main political, cultural, and economic center.
-
A.
San Juan
chosen
San Juan is the largest city and main cultural, economic, and tourism hub of Puerto Rico, known for its historic colonial architecture and vibrant coastal setting.
-
B.
San Juan
San Juan is the capital and largest city of Argentina’s San Juan Province, known for its wine production, seismic activity, and Andean setting.
-
C.
San Juan
San Juan is a highly urbanized city in Metro Manila, Philippines, known for its historical sites, dense residential and commercial areas, and role in the capital region’s urban core.
-
D.
San Juan
San Juan is a coastal municipality in the Philippine province of Batangas known for its beaches, dive spots, and heritage sites.
-
E.
San Juan
San Juan is a suburban town in Trinidad and Tobago located just east of the capital, Port of Spain, known for its bustling commercial activity and residential communities.
- F. None of above.
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_69d6aac59460819089b9848b27f57848 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8d5f8908190903817f84c629ba1 |
completed | April 9, 2026, 5:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4ad135154819091026334d25cd287 |
completed | April 19, 2026, 10:23 a.m. |
| NEDg | Description generation | batch_69e4b12c04e48190ad7546d556a5109f |
completed | April 19, 2026, 10:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e4b2949c7c8190820b7f1f87e00602 |
completed | April 19, 2026, 10:46 a.m. |
Created at: April 8, 2026, 9:30 p.m.