Triple
T4354335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mobile Regional Airport |
E98108
|
entity |
| Predicate | FAAcode |
P420
|
FINISHED |
| Object | MOB |
E433093
|
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: MOB | Statement: [Mobile Regional Airport, FAAcode, MOB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MOB Context triple: [Mobile Regional Airport, FAAcode, MOB]
-
A.
MOB
chosen
MOB is the three-letter IATA airport code for Mobile Regional Airport in Mobile, Alabama, United States.
-
B.
MOB (historical)
MOB (historical) was the former New York Stock Exchange ticker symbol for Mobil Corporation, a major American oil and gas company that later merged with Exxon to form ExxonMobil.
-
C.
MOJ
MOJ is the abbreviated name for Japan’s Ministry of Justice, the government body responsible for legal affairs, the judiciary system, public prosecution, and immigration control.
-
D.
M.O.
M.O. is a studio album by American rapper Nelly that showcases his blend of hip hop and pop-rap with numerous guest collaborations.
-
E.
M.O.
M.O. is a character whose actions and storyline are followed in the television series "Heartland."
- 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_69b3454965f881908c41190bb22f0e4b |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b351c3aa1c8190aacebb8e80e5f2f8 |
completed | March 12, 2026, 11:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5e4fdee688190806edebd05a23570 |
completed | March 14, 2026, 10:45 p.m. |
Created at: March 12, 2026, 11:15 p.m.