Triple
T19791750
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Öndörkhaan Airport |
E475427
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
ZMUH
ZMUH is the ICAO airport code for Öndörkhaan Airport in Mongolia.
|
E1395252
|
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: ZMUH | Statement: [Öndörkhaan Airport, ICAOcode, ZMUH]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ZMUH Context triple: [Öndörkhaan Airport, ICAOcode, ZMUH]
-
A.
ZMH
ZMH is the former stock ticker symbol for Zimmer Holdings, a major medical device company specializing in orthopedic products such as joint replacement implants.
-
B.
ZMH
ZMH is the three-letter station code used to identify Mansion House Underground station on the London Underground network.
-
C.
MUH
MUH is the IATA airport code for Marsa Matruh International Airport, which serves the coastal city of Mersa Matruh in Egypt.
-
D.
HMU
HMU is the commonly used abbreviation for the Hellenic Mediterranean University, a higher education institution in Greece.
-
E.
ZUH
ZUH is the IATA airport code for Zhuhai Jinwan Airport, serving the city of Zhuhai in Guangdong Province, China.
- 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: ZMUH Triple: [Öndörkhaan Airport, ICAOcode, ZMUH]
Generated description
ZMUH is the ICAO airport code for Öndörkhaan Airport in Mongolia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ZMUH Target entity description: ZMUH is the ICAO airport code for Öndörkhaan Airport in Mongolia.
-
A.
ZMH
ZMH is the three-letter station code used to identify Mansion House Underground station on the London Underground network.
-
B.
ZMH
ZMH is the former stock ticker symbol for Zimmer Holdings, a major medical device company specializing in orthopedic products such as joint replacement implants.
-
C.
MUH
MUH is the IATA airport code for Marsa Matruh International Airport, which serves the coastal city of Mersa Matruh in Egypt.
-
D.
HMU
HMU is the commonly used abbreviation for the Hellenic Mediterranean University, a higher education institution in Greece.
-
E.
ZUH
ZUH is the IATA airport code for Zhuhai Jinwan Airport, serving the city of Zhuhai in Guangdong Province, China.
- 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_69d8e51b014081908b263e167370529a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e653c37a3c819080f195d58adaaa7b |
completed | April 20, 2026, 4:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07c4fff3548190a069b665c0885627 |
completed | May 16, 2026, 1:14 a.m. |
| NEDg | Description generation | batch_6a07c580b3108190bcc64fe1f479d7c4 |
completed | May 16, 2026, 1:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07c5e7a5d08190b6a24f66ff966cec |
completed | May 16, 2026, 1:18 a.m. |
Created at: April 10, 2026, 1:49 p.m.