Triple
T76356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miami |
E1524
|
entity |
| Predicate | UNLOCODE |
P1800
|
FINISHED |
| Object |
USMIA
USMIA is the UN/LOCODE identifier for the port and transport hub of Miami in the United States.
|
E4885
|
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: USMIA | Statement: [Miami, UNLOCODE, USMIA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: USMIA Context triple: [Miami, UNLOCODE, USMIA]
-
A.
USASC
USASC is the commonly used abbreviation for the United States Army Signal Corps, the branch responsible for the Army’s communications and information systems.
-
B.
SU
SU was the two-letter country code used to represent the former Soviet Union in various international standards and systems.
-
C.
USCP
USCP is the federal law enforcement agency responsible for protecting the U.S. Capitol complex, its members, staff, and visitors.
-
D.
ECUSA
ECUSA is a common abbreviation for the Episcopal Church in the United States of America, a mainline Anglican Christian denomination based in the U.S.
-
E.
ACU
ACU (the Association of Commonwealth Universities) is an international network of higher education institutions from Commonwealth countries that promotes collaboration, academic excellence, and educational development.
- 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: USMIA Triple: [Miami, UNLOCODE, USMIA]
Generated description
USMIA is the UN/LOCODE identifier for the port and transport hub of Miami in the United States.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: USMIA Target entity description: USMIA is the UN/LOCODE identifier for the port and transport hub of Miami in the United States.
-
A.
USASC
USASC is the commonly used abbreviation for the United States Army Signal Corps, the branch responsible for the Army’s communications and information systems.
-
B.
SU
SU was the two-letter country code used to represent the former Soviet Union in various international standards and systems.
-
C.
USCP
USCP is the federal law enforcement agency responsible for protecting the U.S. Capitol complex, its members, staff, and visitors.
-
D.
ECUSA
ECUSA is a common abbreviation for the Episcopal Church in the United States of America, a mainline Anglican Christian denomination based in the U.S.
-
E.
ACU
ACU (the Association of Commonwealth Universities) is an international network of higher education institutions from Commonwealth countries that promotes collaboration, academic excellence, and educational development.
- 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_69a24c60d19c8190a1b6c105ca59ef5b |
completed | Feb. 28, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69a24f1d20b88190b66836cc018e52e1 |
completed | Feb. 28, 2026, 2:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a255522b0081909f8a02667108a6d3 |
completed | Feb. 28, 2026, 2:39 a.m. |
| NEDg | Description generation | batch_69a255ef9b1081909fe71530250bd68b |
completed | Feb. 28, 2026, 2:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a256c673748190abb6b556701b4a2a |
completed | Feb. 28, 2026, 2:45 a.m. |
Created at: Feb. 28, 2026, 2:06 a.m.