Triple
T17255408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MCT |
E418866
|
entity |
| Predicate | icaoCodeOfAirport |
P419
|
FINISHED |
| Object | OOMS |
E418867
|
NE FINISHED |
How this triple was built (2 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: OOMS | Statement: [MCT, icaoCodeOfAirport, OOMS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OOMS Context triple: [MCT, icaoCodeOfAirport, OOMS]
-
A.
OOMS
chosen
OOMS is the ICAO airport code for Muscat International Airport, the main international gateway to Oman located in the capital city, Muscat.
-
B.
DOOMS
DOOMS is a supernatural condition in the Death Stranding universe that grants individuals heightened sensitivity to and interaction with the realm of the dead and its entities.
-
C.
OOM
OOM is a post-nominal designation used to signify an officer’s appointment to the Order of Merit of the Police Forces in Canada.
-
D.
OM
OM is an American experimental rock band known for its hypnotic, drone-influenced sound and spiritually themed compositions.
-
E.
OM
OM was an Italian manufacturer known for producing vehicles such as the Milan series 1500 Peter Witt trams as well as trucks and other industrial transport equipment.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d886d9ab108190b70edd8d17aa1204 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42e6c362c819088965c6e05f33faf |
completed | April 19, 2026, 1:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0170fd7f7c81908f417fa758e861a2 |
completed | May 11, 2026, 6:02 a.m. |
Created at: April 10, 2026, 5:39 a.m.