Triple
T12079332
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morristown Municipal Airport |
E287636
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
KMMU
KMMU is the ICAO airport code for Morristown Municipal Airport, a general aviation airport serving the Morristown, New Jersey area.
|
E963295
|
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: KMMU | Statement: [Morristown Municipal Airport, ICAOcode, KMMU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KMMU Context triple: [Morristown Municipal Airport, ICAOcode, KMMU]
-
A.
KMU
KMU is the abbreviation commonly used for Keimyung University, a private Christian university located in Daegu, South Korea.
-
B.
KMMC
KMMC is an Indian music conservatory founded by composer A. R. Rahman that offers professional training in Western and Indian classical music and music technology.
-
C.
KMMV
KMMV is the ICAO airport code for McMinnville Municipal Airport, a public airport serving McMinnville in Yamhill County, Oregon, United States.
-
D.
KMMG
KMMG is Kia’s large-scale automobile manufacturing facility located in West Point, Georgia, producing vehicles for the North American market.
-
E.
KSMF
KSMF is the ICAO airport code for Sacramento International Airport, a major commercial airport serving California’s capital region.
- 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: KMMU Triple: [Morristown Municipal Airport, ICAOcode, KMMU]
Generated description
KMMU is the ICAO airport code for Morristown Municipal Airport, a general aviation airport serving the Morristown, New Jersey area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: KMMU Target entity description: KMMU is the ICAO airport code for Morristown Municipal Airport, a general aviation airport serving the Morristown, New Jersey area.
-
A.
KMU
KMU is the abbreviation commonly used for Keimyung University, a private Christian university located in Daegu, South Korea.
-
B.
KMMC
KMMC is an Indian music conservatory founded by composer A. R. Rahman that offers professional training in Western and Indian classical music and music technology.
-
C.
KMMV
KMMV is the ICAO airport code for McMinnville Municipal Airport, a public airport serving McMinnville in Yamhill County, Oregon, United States.
-
D.
KMMG
KMMG is Kia’s large-scale automobile manufacturing facility located in West Point, Georgia, producing vehicles for the North American market.
-
E.
KSMF
KSMF is the ICAO airport code for Sacramento International Airport, a major commercial airport serving California’s capital region.
- 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_69d6ab4846e081908ee7bbd66a6d3459 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9045e81f88190be2b1aabd93f077c |
completed | April 10, 2026, 2:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f66301f081909697f9dd444a099e |
completed | May 2, 2026, 1:04 p.m. |
| NEDg | Description generation | batch_69f5fde880f4819094b2170bf4e82138 |
completed | May 2, 2026, 1:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f5ffc2cfd08190b87eccd3a73afc77 |
completed | May 2, 2026, 1:44 p.m. |
Created at: April 8, 2026, 9:48 p.m.