Triple
T2774845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eppley Airfield |
E61543
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
KOMA
KOMA is the ICAO airport code for Eppley Airfield, the primary commercial airport serving Omaha, Nebraska.
|
E297401
|
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: KOMA | Statement: [Eppley Airfield, ICAOcode, KOMA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KOMA Context triple: [Eppley Airfield, ICAOcode, KOMA]
-
A.
Leuke Kome
Leuke Kome was an important Nabataean Red Sea port settlement that served as a key hub for trade between Arabia, Egypt, and the Mediterranean world.
-
B.
Nerekhta
Nerekhta is a historic Russian town known for its well-preserved traditional architecture and cultural heritage within Kostroma Oblast.
-
C.
KMK
KMK is the central coordinating body of Germany’s state education and cultural ministers, responsible for harmonizing policies across the federal states.
-
D.
Kehjistan
Kehjistan is a vast, ancient desert kingdom and major human civilization in the Diablo universe, known for its powerful mage clans, bustling trade cities, and deep ties to Sanctuary’s arcane history.
-
E.
Mandika
Mandika is an alternative name for the Mandinka, a major West African ethnic group known for their rich cultural traditions and historical role in the Mali Empire.
- 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: KOMA Triple: [Eppley Airfield, ICAOcode, KOMA]
Generated description
KOMA is the ICAO airport code for Eppley Airfield, the primary commercial airport serving Omaha, Nebraska.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: KOMA Target entity description: KOMA is the ICAO airport code for Eppley Airfield, the primary commercial airport serving Omaha, Nebraska.
-
A.
Leuke Kome
Leuke Kome was an important Nabataean Red Sea port settlement that served as a key hub for trade between Arabia, Egypt, and the Mediterranean world.
-
B.
Nerekhta
Nerekhta is a historic Russian town known for its well-preserved traditional architecture and cultural heritage within Kostroma Oblast.
-
C.
KMK
KMK is the central coordinating body of Germany’s state education and cultural ministers, responsible for harmonizing policies across the federal states.
-
D.
Kehjistan
Kehjistan is a vast, ancient desert kingdom and major human civilization in the Diablo universe, known for its powerful mage clans, bustling trade cities, and deep ties to Sanctuary’s arcane history.
-
E.
Mandika
Mandika is an alternative name for the Mandinka, a major West African ethnic group known for their rich cultural traditions and historical role in the Mali Empire.
- 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_69ab4b7cd13481909174bca9809ed259 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdd7f9570819087f1b1cb59d68586 |
completed | March 7, 2026, 8:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afc058c8a48190bbd151251678b4ee |
completed | March 10, 2026, 6:55 a.m. |
| NEDg | Description generation | batch_69afc15513f48190a22f83571be2e0bd |
completed | March 10, 2026, 6:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afc1c9440c8190abf9dc063109af45 |
completed | March 10, 2026, 7:01 a.m. |
Created at: March 6, 2026, 9:57 p.m.