Triple
T8613653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Union Glacier blue-ice runway |
E203978
|
entity |
| Predicate | operatorAbbreviation |
P43
|
FINISHED |
| Object |
ALE
ALE (Antarctic Logistics & Expeditions) is a private company that provides logistical support, flights, and guided expeditions for scientific teams and adventure tourists in Antarctica.
|
E745430
|
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: ALE | Statement: [Union Glacier blue-ice runway, operatorAbbreviation, ALE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ALE Context triple: [Union Glacier blue-ice runway, operatorAbbreviation, ALE]
-
A.
ALE
ALE is a widely used research platform that provides a common interface to hundreds of Atari 2600 games for developing and evaluating artificial intelligence and reinforcement learning algorithms.
-
B.
AL
AL is the common abbreviation for the American League, one of the two major professional baseball leagues that make up Major League Baseball in the United States and Canada.
-
C.
AL
AL is the official postal abbreviation for the Brazilian state of Alagoas, located in the country's Northeast region.
-
D.
AL
AL is the two-letter ISO 3166 country code representing the Republic of Albania.
-
E.
AL
AL is the codename for a specific military operation referred to as Operation AL.
- 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: ALE Triple: [Union Glacier blue-ice runway, operatorAbbreviation, ALE]
Generated description
ALE (Antarctic Logistics & Expeditions) is a private company that provides logistical support, flights, and guided expeditions for scientific teams and adventure tourists in Antarctica.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ALE Target entity description: ALE (Antarctic Logistics & Expeditions) is a private company that provides logistical support, flights, and guided expeditions for scientific teams and adventure tourists in Antarctica.
-
A.
ALE
ALE is a widely used research platform that provides a common interface to hundreds of Atari 2600 games for developing and evaluating artificial intelligence and reinforcement learning algorithms.
-
B.
AL
AL is the common abbreviation for the American League, one of the two major professional baseball leagues that make up Major League Baseball in the United States and Canada.
-
C.
AL
AL is the official postal abbreviation for the Brazilian state of Alagoas, located in the country's Northeast region.
-
D.
AL
AL is the two-letter ISO 3166 country code representing the Republic of Albania.
-
E.
AL
AL is the codename for a specific military operation referred to as Operation AL.
- 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_69ca832ceab8819096e4a9f546695079 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc4700b9e08190b03f05f4757cfc47 |
completed | March 31, 2026, 10:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cea91c30ec81908dafc1caf057e41c |
completed | April 2, 2026, 5:36 p.m. |
| NEDg | Description generation | batch_69cea9e685388190a4be9d2135dc02d0 |
completed | April 2, 2026, 5:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ceaababe2c8190bc47430d33bfdbaa |
completed | April 2, 2026, 5:43 p.m. |
Created at: March 30, 2026, 6:25 p.m.