Triple
T3133641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manassas Regional Airport |
E65475
|
entity |
| Predicate | IATA code |
P2569
|
FINISHED |
| Object |
MNZ
MNZ is the IATA airport code for Manassas Regional Airport, a public airport serving Manassas, Virginia, in the United States.
|
E330564
|
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: MNZ | Statement: [Manassas Regional Airport, IATA code, MNZ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MNZ Context triple: [Manassas Regional Airport, IATA code, MNZ]
-
A.
MNH
MNH was a German company that played a key role in producing Panther tanks for the Wehrmacht during World War II.
-
B.
MZ
MZ is the two-letter ISO 3166-1 alpha-2 country code assigned to Mozambique.
-
C.
MNU
MNU is an international consortium of universities focused on collaboration in research, teaching, and community engagement, particularly around themes of sustainability and global citizenship.
-
D.
MNR
MNR is the abbreviated designation for the National Republican Navy, the maritime military force of the Italian Social Republic during World War II.
-
E.
MNR
MNR is the central government ministry of China responsible for managing the country’s natural resources, including land, minerals, and maritime areas.
- 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: MNZ Triple: [Manassas Regional Airport, IATA code, MNZ]
Generated description
MNZ is the IATA airport code for Manassas Regional Airport, a public airport serving Manassas, Virginia, in the United States.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MNZ Target entity description: MNZ is the IATA airport code for Manassas Regional Airport, a public airport serving Manassas, Virginia, in the United States.
-
A.
MNH
MNH was a German company that played a key role in producing Panther tanks for the Wehrmacht during World War II.
-
B.
MZ
MZ is the two-letter ISO 3166-1 alpha-2 country code assigned to Mozambique.
-
C.
MNU
MNU is an international consortium of universities focused on collaboration in research, teaching, and community engagement, particularly around themes of sustainability and global citizenship.
-
D.
MNR
MNR is the abbreviated designation for the National Republican Navy, the maritime military force of the Italian Social Republic during World War II.
-
E.
MNR
MNR is the central government ministry of China responsible for managing the country’s natural resources, including land, minerals, and maritime areas.
- 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_69ad8581c25c8190b0d85ba9b9baa531 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada56104ec8190a14591ed73f3fe83 |
completed | March 8, 2026, 4:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b20f84d8288190b1f48fa0f5c10773 |
completed | March 12, 2026, 12:57 a.m. |
| NEDg | Description generation | batch_69b2102e35b08190ad9ca397f0c937da |
completed | March 12, 2026, 1 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b21458b07081909d75886e0d9f88e9 |
completed | March 12, 2026, 1:18 a.m. |
Created at: March 8, 2026, 3:05 p.m.