Triple
T15984793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aigen im Ennstal Air Base |
E387664
|
entity |
| Predicate | ICAOCode |
P419
|
FINISHED |
| Object |
LOXA
LOXA is the ICAO airport code assigned to Aigen im Ennstal Air Base in Austria.
|
E1188166
|
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: LOXA | Statement: [Aigen im Ennstal Air Base, ICAOCode, LOXA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LOXA Context triple: [Aigen im Ennstal Air Base, ICAOCode, LOXA]
-
A.
Plaxtol
Plaxtol is a small rural village and civil parish in Kent, England, known for its historic buildings and surrounding countryside.
-
B.
LOXO
LOXO was the stock ticker symbol for Loxo Oncology, a biopharmaceutical company focused on developing targeted cancer therapies before its acquisition.
-
C.
Novafora
Novafora was a semiconductor company known for acquiring Transmeta to expand its presence in low-power microprocessor and video processing technologies.
-
D.
Opekta
Opekta was a German-Dutch company that produced and sold pectin-based gelling agents for making jam, notably managed in its Amsterdam branch by Anne Frank’s father, Otto Frank.
-
E.
Andexxa
Andexxa is a recombinant modified human factor Xa protein used as a reversal agent to counteract the anticoagulant effects of factor Xa inhibitors such as rivaroxaban and apixaban.
- 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: LOXA Triple: [Aigen im Ennstal Air Base, ICAOCode, LOXA]
Generated description
LOXA is the ICAO airport code assigned to Aigen im Ennstal Air Base in Austria.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LOXA Target entity description: LOXA is the ICAO airport code assigned to Aigen im Ennstal Air Base in Austria.
-
A.
Plaxtol
Plaxtol is a small rural village and civil parish in Kent, England, known for its historic buildings and surrounding countryside.
-
B.
LOXO
LOXO was the stock ticker symbol for Loxo Oncology, a biopharmaceutical company focused on developing targeted cancer therapies before its acquisition.
-
C.
Novafora
Novafora was a semiconductor company known for acquiring Transmeta to expand its presence in low-power microprocessor and video processing technologies.
-
D.
Opekta
Opekta was a German-Dutch company that produced and sold pectin-based gelling agents for making jam, notably managed in its Amsterdam branch by Anne Frank’s father, Otto Frank.
-
E.
Andexxa
Andexxa is a recombinant modified human factor Xa protein used as a reversal agent to counteract the anticoagulant effects of factor Xa inhibitors such as rivaroxaban and apixaban.
- 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_69d86daa562c81908aacc179c0fe8fb5 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e15757a3548190900de1962308f6b8 |
completed | April 16, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffc3cdf7848190848e9081027dc027 |
completed | May 9, 2026, 11:31 p.m. |
| NEDg | Description generation | batch_69ffc5669c1c81909bacf61c96cb7816 |
completed | May 9, 2026, 11:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffc5c7db1c8190b4e1de6f6e3ce8a0 |
completed | May 9, 2026, 11:39 p.m. |
Created at: April 10, 2026, 4:54 a.m.