Triple
T6668633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Johan Adolf Pengel International Airport |
E151668
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
SMJP
SMJP is the ICAO airport code for Johan Adolf Pengel International Airport, the main international gateway to Suriname.
|
E610202
|
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: SMJP | Statement: [Johan Adolf Pengel International Airport, ICAOcode, SMJP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SMJP Context triple: [Johan Adolf Pengel International Airport, ICAOcode, SMJP]
-
A.
SJM
SJM is the National Rail station code for St. James railway station in Liverpool, England.
-
B.
JMB
JMB is the frequent-flyer mileage program of Japan Airlines, allowing members to earn and redeem miles for flights and related travel services.
-
C.
JM
JM is the two-letter ISO 3166-1 alpha-2 country code assigned to Jamaica for international standardization and identification purposes.
-
D.
JMSB
JMSB is a leading Canadian business school that is part of Concordia University in Montreal, offering undergraduate and graduate programs in business and management.
-
E.
SJ
SJ is Sweden’s primary state-owned passenger train operator, running long-distance and regional rail services across the country.
- 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: SMJP Triple: [Johan Adolf Pengel International Airport, ICAOcode, SMJP]
Generated description
SMJP is the ICAO airport code for Johan Adolf Pengel International Airport, the main international gateway to Suriname.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SMJP Target entity description: SMJP is the ICAO airport code for Johan Adolf Pengel International Airport, the main international gateway to Suriname.
-
A.
SJM
SJM is the National Rail station code for St. James railway station in Liverpool, England.
-
B.
JMB
JMB is the frequent-flyer mileage program of Japan Airlines, allowing members to earn and redeem miles for flights and related travel services.
-
C.
JM
JM is the two-letter ISO 3166-1 alpha-2 country code assigned to Jamaica for international standardization and identification purposes.
-
D.
JMSB
JMSB is a leading Canadian business school that is part of Concordia University in Montreal, offering undergraduate and graduate programs in business and management.
-
E.
SJ
SJ is Sweden’s primary state-owned passenger train operator, running long-distance and regional rail services across the country.
- 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_69c687f71fc081909dbd45d6377f6045 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6b0c4a8e48190aa3b2e41902d2f86 |
completed | March 27, 2026, 4:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6ef109f5c8190aa28b5d7aa192e6e |
completed | March 27, 2026, 8:56 p.m. |
| NEDg | Description generation | batch_69c6f0a498cc8190a0494082b91b012d |
completed | March 27, 2026, 9:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6f136ac648190b94a7cda43139fd0 |
completed | March 27, 2026, 9:05 p.m. |
Created at: March 27, 2026, 2:02 p.m.