Triple
T24751184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National District |
E619148
|
entity |
| Predicate | hasHighestCourtSeat |
P13906
|
FINISHED |
| Object |
Santo Domingo
Santo Domingo is the capital and largest city of the Dominican Republic, serving as its political, cultural, and economic center.
|
E839205
|
NE FINISHED |
How this triple was built (3 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: Santo Domingo | Statement: [National District, hasHighestCourtSeat, Santo Domingo]
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: Santo Domingo Triple: [National District, hasHighestCourtSeat, Santo Domingo]
Generated description
Santo Domingo is the capital and largest city of the Dominican Republic, serving as its political, cultural, and economic center.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHighestCourtSeat Context triple: [National District, hasHighestCourtSeat, Santo Domingo]
-
A.
highCourtSeat
chosen
Indicates that a location serves as the official seat or headquarters of a high court.
-
B.
highestCourtOf
Indicates that one entity is the supreme judicial authority or top-level court within the jurisdiction or legal system of another entity.
-
C.
hadRulingSeat
Indicates that an entity held an official position of authority or judgment within a governing or decision-making body.
-
D.
isMajorCourtIn
Indicates that a court is a primary or high-level judicial body within the specified jurisdiction or region.
-
E.
officeHoldsInHighestCourtOf
Indicates that an entity holds an official position or role within the highest court of a specified jurisdiction.
- F. None of above.
Provenance (6 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_69e2fabb349881908a13a212a0221a63 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f48b9b687881908fd87a2f5fa0b1e7 |
completed | May 1, 2026, 11:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a10679fdaa88190ac8b2d293b079301 |
completed | May 22, 2026, 2:26 p.m. |
| NEDg | Description generation | batch_6a106b881f08819084d971c1bed60314 |
completed | May 22, 2026, 2:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a106bf55d0c819097aeab7a64aa1ae9 |
completed | May 22, 2026, 2:45 p.m. |
| PD | Predicate disambiguation | batch_69f48060597c8190a4414e4e4fcb1fec |
completed | May 1, 2026, 10:28 a.m. |
Created at: April 18, 2026, 4:24 a.m.