Triple
T12876510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Puerto Leguízamo |
E307982
|
entity |
| Predicate | airportICAOCode |
P419
|
FINISHED |
| Object |
SKLG
SKLG is the ICAO airport code for the main airport serving Puerto Leguízamo in Colombia.
|
E1006424
|
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: SKLG | Statement: [Puerto Leguízamo, airportICAOCode, SKLG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SKLG Context triple: [Puerto Leguízamo, airportICAOCode, SKLG]
-
A.
SKT
SKT is the IATA airport code for Sialkot International Airport in Sialkot, Pakistan.
-
B.
LSGG
LSGG is the ICAO airport code for Geneva Airport, the international airport serving Geneva, Switzerland.
-
C.
Gen.G Tigers of Shanghai
Gen.G Tigers of Shanghai is an esports team that competes in the NBA 2K League and represents the global expansion of the league into Asia.
-
D.
Gen.G Esports
Gen.G Esports is a global professional esports organization fielding top-level teams across multiple games in North America and Asia.
-
E.
Team SoloMid
Team SoloMid (TSM) is a prominent North American esports organization best known for its highly successful League of Legends team and strong competitive legacy across multiple games.
- 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: SKLG Triple: [Puerto Leguízamo, airportICAOCode, SKLG]
Generated description
SKLG is the ICAO airport code for the main airport serving Puerto Leguízamo in Colombia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SKLG Target entity description: SKLG is the ICAO airport code for the main airport serving Puerto Leguízamo in Colombia.
-
A.
SKT
SKT is the IATA airport code for Sialkot International Airport in Sialkot, Pakistan.
-
B.
LSGG
LSGG is the ICAO airport code for Geneva Airport, the international airport serving Geneva, Switzerland.
-
C.
Gen.G Tigers of Shanghai
Gen.G Tigers of Shanghai is an esports team that competes in the NBA 2K League and represents the global expansion of the league into Asia.
-
D.
Gen.G Esports
Gen.G Esports is a global professional esports organization fielding top-level teams across multiple games in North America and Asia.
-
E.
Team SoloMid
Team SoloMid (TSM) is a prominent North American esports organization best known for its highly successful League of Legends team and strong competitive legacy across multiple games.
- 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_69d7bdf69bc48190af6c2621f28ca351 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d970f97f9c81908c75259a4cab1d3c |
completed | April 10, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f69bb83bac8190838f7537b806317c |
completed | May 3, 2026, 12:50 a.m. |
| NEDg | Description generation | batch_69f69cc60c488190a5a71e25c075e9ff |
completed | May 3, 2026, 12:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f69d845a9081909b40562825c1c500 |
completed | May 3, 2026, 12:57 a.m. |
Created at: April 9, 2026, 5:38 p.m.