Triple
T33191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PR |
E662
|
entity |
| Predicate | ISO3166-1Alpha3 |
P189
|
FINISHED |
| Object |
PRI
PRI is the three-letter ISO 3166-1 alpha-3 country code for Puerto Rico, an unincorporated territory of the United States in the Caribbean.
|
E662
|
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: PRI | Statement: [PR, ISO3166-1Alpha3, PRI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PRI Context triple: [PR, ISO3166-1Alpha3, PRI]
-
A.
PR
PR is the two-letter postal abbreviation commonly used to refer to Puerto Rico, a Caribbean island and unincorporated territory of the United States.
-
B.
HUP
HUP is a major academic medical center in Philadelphia that serves as the flagship teaching hospital of the University of Pennsylvania's health system.
-
C.
APRU
APRU (Association of Pacific Rim Universities) is a consortium of leading research universities around the Pacific Rim that collaborates on education, research, and policy initiatives.
-
D.
NE
NE is the common abbreviation for the New England Revolution, a professional Major League Soccer club based in the Greater Boston area.
-
E.
SF
SF is the standard two-letter postal abbreviation used to represent the city of San Francisco, California.
- 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: PRI Triple: [PR, ISO3166-1Alpha3, PRI]
Generated description
PRI is the three-letter ISO 3166-1 alpha-3 country code for Puerto Rico, an unincorporated territory of the United States in the Caribbean.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: PRI Target entity description: PRI is the three-letter ISO 3166-1 alpha-3 country code for Puerto Rico, an unincorporated territory of the United States in the Caribbean.
-
A.
PR
chosen
PR is the two-letter postal abbreviation commonly used to refer to Puerto Rico, a Caribbean island and unincorporated territory of the United States.
-
B.
PT
PT is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Portugal in international standards and systems.
-
C.
HUP
HUP is a major academic medical center in Philadelphia that serves as the flagship teaching hospital of the University of Pennsylvania's health system.
-
D.
APRU
APRU (Association of Pacific Rim Universities) is a consortium of leading research universities around the Pacific Rim that collaborates on education, research, and policy initiatives.
-
E.
NE
NE is the common abbreviation for the New England Revolution, a professional Major League Soccer club based in the Greater Boston area.
- 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_69a2479dec388190967ba648663442c9 |
completed | Feb. 28, 2026, 1:40 a.m. |
| NER | Named-entity recognition | batch_69a2487952bc8190a94ce39c70799c70 |
completed | Feb. 28, 2026, 1:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a24e5ec6308190ad27b8b28b3f59d2 |
completed | Feb. 28, 2026, 2:09 a.m. |
| NEDg | Description generation | batch_69a250c9b7388190a997ec073d9d0500 |
completed | Feb. 28, 2026, 2:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a2512bd888819097e930e961f5fffa |
completed | Feb. 28, 2026, 2:21 a.m. |
Created at: Feb. 28, 2026, 1:44 a.m.