Triple
T3795530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tangier Ibn Battouta Airport |
E89759
|
entity |
| Predicate | icaoCode |
P419
|
FINISHED |
| Object |
GMTT
GMTT is the ICAO airport code for Tangier Ibn Battouta Airport in Tangier, Morocco.
|
E389551
|
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: GMTT | Statement: [Tangier Ibn Battouta Airport, icaoCode, GMTT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GMTT Context triple: [Tangier Ibn Battouta Airport, icaoCode, GMTT]
-
A.
GMT400
GMT400 is General Motors’ full-size pickup and SUV platform produced from the late 1980s through the 1990s, underpinning vehicles like the Chevrolet C/K and GMC Sierra.
-
B.
GMT360
GMT360 is General Motors' mid-size SUV platform used in the early 2000s for body-on-frame sport utility vehicles across several of its brands.
-
C.
GMT800
GMT800 is General Motors' full-size truck and SUV platform introduced in the late 1990s, underpinning vehicles like the Chevrolet Silverado and GMC Sierra.
-
D.
GBTT
GBTT is the historic radio call sign assigned to the British ocean liner RMS Queen Mary.
-
E.
GMT
GMT (Greenwich Mean Time) is the mean solar time at the Royal Observatory in Greenwich, London, historically used as the international civil time standard and the basis for modern time zones.
- 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: GMTT Triple: [Tangier Ibn Battouta Airport, icaoCode, GMTT]
Generated description
GMTT is the ICAO airport code for Tangier Ibn Battouta Airport in Tangier, Morocco.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: GMTT Target entity description: GMTT is the ICAO airport code for Tangier Ibn Battouta Airport in Tangier, Morocco.
-
A.
GMT400
GMT400 is General Motors’ full-size pickup and SUV platform produced from the late 1980s through the 1990s, underpinning vehicles like the Chevrolet C/K and GMC Sierra.
-
B.
GMT360
GMT360 is General Motors' mid-size SUV platform used in the early 2000s for body-on-frame sport utility vehicles across several of its brands.
-
C.
GMT800
GMT800 is General Motors' full-size truck and SUV platform introduced in the late 1990s, underpinning vehicles like the Chevrolet Silverado and GMC Sierra.
-
D.
GBTT
GBTT is the historic radio call sign assigned to the British ocean liner RMS Queen Mary.
-
E.
GMT
GMT (Greenwich Mean Time) is the mean solar time at the Royal Observatory in Greenwich, London, historically used as the international civil time standard and the basis for modern time zones.
- 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_69aed9597d6881909b6ee3b9de859223 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee79f09bc8190b7514a11a030eba5 |
completed | March 9, 2026, 3:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4f05ea5e081908c4714ca35aed48b |
completed | March 14, 2026, 5:21 a.m. |
| NEDg | Description generation | batch_69b4f2ed663c8190be431c7aae60259e |
completed | March 14, 2026, 5:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4f72eba988190acb96b44fc8b7c30 |
completed | March 14, 2026, 5:50 a.m. |
Created at: March 9, 2026, 3:15 p.m.