Triple
T3333132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Port of Suva |
E70078
|
entity |
| Predicate | UNLocode |
P1800
|
FINISHED |
| Object |
FJSUV
FJSUV is the UN/LOCODE identifier for the Port of Suva in Fiji, used in international trade and transport documentation.
|
E349434
|
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: FJSUV | Statement: [Port of Suva, UNLocode, FJSUV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FJSUV Context triple: [Port of Suva, UNLocode, FJSUV]
-
A.
FSD
FSD is the IATA airport code for Sioux Falls Regional Airport, the primary commercial airport serving Sioux Falls, South Dakota.
-
B.
SFS
SFS is a renowned Georgetown University school specializing in international affairs, diplomacy, and global policy education.
-
C.
SFS
SFS is the abbreviation for the Senior Foreign Service, the elite cadre of senior-ranking career diplomats in the United States Foreign Service.
-
D.
FAMAS F1
The FAMAS F1 is a French bullpup 5.56×45mm NATO assault rifle variant widely recognized for its distinctive design and long service with the French military.
-
E.
FV
FV is the IATA airline designator assigned to Rossiya Airlines, a Russian carrier based in Saint Petersburg.
- 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: FJSUV Triple: [Port of Suva, UNLocode, FJSUV]
Generated description
FJSUV is the UN/LOCODE identifier for the Port of Suva in Fiji, used in international trade and transport documentation.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: FJSUV Target entity description: FJSUV is the UN/LOCODE identifier for the Port of Suva in Fiji, used in international trade and transport documentation.
-
A.
FSD
FSD is the IATA airport code for Sioux Falls Regional Airport, the primary commercial airport serving Sioux Falls, South Dakota.
-
B.
SFS
SFS is the abbreviation for the Senior Foreign Service, the elite cadre of senior-ranking career diplomats in the United States Foreign Service.
-
C.
SFS
SFS is a renowned Georgetown University school specializing in international affairs, diplomacy, and global policy education.
-
D.
FAMAS F1
The FAMAS F1 is a French bullpup 5.56×45mm NATO assault rifle variant widely recognized for its distinctive design and long service with the French military.
-
E.
FV
FV is the IATA airline designator assigned to Rossiya Airlines, a Russian carrier based in Saint Petersburg.
- 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_69ad85a24f208190bcf83131bfed3521 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb194960081909333c855f06d8b03 |
completed | March 8, 2026, 5:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b31a867cac81909ddde955c1752ab8 |
completed | March 12, 2026, 7:56 p.m. |
| NEDg | Description generation | batch_69b31c393f20819098d5761372d6a980 |
completed | March 12, 2026, 8:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b3206be2748190874560701dc1ed18 |
completed | March 12, 2026, 8:22 p.m. |
Created at: March 8, 2026, 3:12 p.m.