Triple
T10787044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Port of Guayaquil |
E254477
|
entity |
| Predicate | hasPortCode |
P24997
|
FINISHED |
| Object |
ECGYE
ECGYE is the port code identifying the Port of Guayaquil, a major maritime gateway in Ecuador for international trade and shipping.
|
E885887
|
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: ECGYE | Statement: [Port of Guayaquil, hasPortCode, ECGYE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ECGYE Context triple: [Port of Guayaquil, hasPortCode, ECGYE]
-
A.
EGYC
EGYC is the ICAO airport code assigned to the former Royal Air Force station RAF Coltishall in Norfolk, England.
-
B.
CYEG
CYEG is the ICAO airport code for Edmonton International Airport, the primary commercial air gateway serving the Edmonton metropolitan region in Alberta, Canada.
-
C.
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.
-
D.
EYKA
EYKA is the ICAO airport code for Kaunas Airport, an international airport serving the city of Kaunas in Lithuania.
-
E.
YCE
YCE is the abbreviated name of the UNEP Young Champions of the Earth program, a United Nations initiative that recognizes and supports outstanding young environmental leaders worldwide.
- 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: ECGYE Triple: [Port of Guayaquil, hasPortCode, ECGYE]
Generated description
ECGYE is the port code identifying the Port of Guayaquil, a major maritime gateway in Ecuador for international trade and shipping.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ECGYE Target entity description: ECGYE is the port code identifying the Port of Guayaquil, a major maritime gateway in Ecuador for international trade and shipping.
-
A.
EGYC
EGYC is the ICAO airport code assigned to the former Royal Air Force station RAF Coltishall in Norfolk, England.
-
B.
CYEG
CYEG is the ICAO airport code for Edmonton International Airport, the primary commercial air gateway serving the Edmonton metropolitan region in Alberta, Canada.
-
C.
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.
-
D.
EYKA
EYKA is the ICAO airport code for Kaunas Airport, an international airport serving the city of Kaunas in Lithuania.
-
E.
YCE
YCE is the abbreviated name of the UNEP Young Champions of the Earth program, a United Nations initiative that recognizes and supports outstanding young environmental leaders worldwide.
- 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_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_69de56199d088190938a72105540cf66 |
completed | April 14, 2026, 2:58 p.m. |
| NEDg | Description generation | batch_69de5eadb9448190bdf69711394e2ab7 |
completed | April 14, 2026, 3:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69de607917808190922df6521d7bfb07 |
completed | April 14, 2026, 3:42 p.m. |
Created at: April 8, 2026, 9:17 p.m.