Triple
T20933252
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ölgii |
E515519
|
entity |
| Predicate | airportICAOcode |
P419
|
FINISHED |
| Object |
ZMUL
ZMUL is the ICAO airport code for Ölgii Airport, a regional airport serving the town of Ölgii in western Mongolia.
|
E1457497
|
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: ZMUL | Statement: [Ölgii, airportICAOcode, ZMUL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ZMUL Context triple: [Ölgii, airportICAOcode, ZMUL]
-
A.
ZM
ZM is the ISO 3166-1 alpha-2 country code for Zambia, a landlocked nation in southern Africa.
-
B.
ZM
ZM is the stock ticker symbol for Zoom Video Communications, a leading provider of cloud-based video conferencing and online collaboration services.
-
C.
Zimulti
Zimulti is the brand name for rimonabant, a cannabinoid receptor antagonist that was developed as an anti-obesity drug but withdrawn due to psychiatric side effects.
-
D.
ZUM
ZUM is the IATA airport code for Churchill Falls Airport in Newfoundland and Labrador, Canada.
-
E.
Züm
Züm is Brampton Transit's bus rapid transit service that provides faster, limited-stop connections across key corridors in Brampton and the surrounding 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: ZMUL Triple: [Ölgii, airportICAOcode, ZMUL]
Generated description
ZMUL is the ICAO airport code for Ölgii Airport, a regional airport serving the town of Ölgii in western Mongolia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ZMUL Target entity description: ZMUL is the ICAO airport code for Ölgii Airport, a regional airport serving the town of Ölgii in western Mongolia.
-
A.
ZM
ZM is the ISO 3166-1 alpha-2 country code for Zambia, a landlocked nation in southern Africa.
-
B.
ZM
ZM is the stock ticker symbol for Zoom Video Communications, a leading provider of cloud-based video conferencing and online collaboration services.
-
C.
Zimulti
Zimulti is the brand name for rimonabant, a cannabinoid receptor antagonist that was developed as an anti-obesity drug but withdrawn due to psychiatric side effects.
-
D.
ZUM
ZUM is the IATA airport code for Churchill Falls Airport in Newfoundland and Labrador, Canada.
-
E.
Züm
Züm is Brampton Transit's bus rapid transit service that provides faster, limited-stop connections across key corridors in Brampton and the surrounding 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_69e0b4fb431c8190b9d40e6a72f0cc87 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6f94e980c819083280a9c35af5930 |
completed | April 21, 2026, 4:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a091fd28890819091e20c282b0811ae |
completed | May 17, 2026, 1:54 a.m. |
| NEDg | Description generation | batch_6a09204848848190acdd189dc88990ed |
completed | May 17, 2026, 1:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0920c819a08190b040bb9e89309eb9 |
completed | May 17, 2026, 1:58 a.m. |
Created at: April 16, 2026, 12:49 p.m.