Triple
T10787045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Port of Guayaquil |
E254477
|
entity |
| Predicate | hasUNLocode |
P1492
|
FINISHED |
| Object | ECGYE |
E885887
|
NE FINISHED |
How this triple was built (2 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: ECGYE | Statement: [Port of Guayaquil, hasUNLocode, ECGYE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ECGYE Context triple: [Port of Guayaquil, hasUNLocode, ECGYE]
-
A.
ECGYE
chosen
ECGYE is the port code identifying the Port of Guayaquil, a major maritime gateway in Ecuador for international trade and shipping.
-
B.
EGYC
EGYC is the ICAO airport code assigned to the former Royal Air Force station RAF Coltishall in Norfolk, England.
-
C.
CYEG
CYEG is the ICAO airport code for Edmonton International Airport, the primary commercial air gateway serving the Edmonton metropolitan region in Alberta, Canada.
-
D.
ECY
ECY is the commonly used acronym for the Washington State Department of Ecology, the state agency responsible for environmental protection and natural resource management in Washington.
-
E.
EYKA
EYKA is the ICAO airport code for Kaunas Airport, an international airport serving the city of Kaunas in Lithuania.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aa609f008190a294200aefcb7bd5 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d732d5422481908d7ab833c6cbc879 |
completed | April 9, 2026, 5:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de84ddd6f48190a11eae9233d3ef9f |
completed | April 14, 2026, 6:18 p.m. |
Created at: April 8, 2026, 9:17 p.m.