Triple
T4615920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terminal 1D |
E100867
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
T1D
T1D is a shorthand name for Terminal 1D, likely referring to a specific passenger terminal section within an airport.
|
E458489
|
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: T1D | Statement: [Terminal 1D, alsoKnownAs, T1D]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: T1D Context triple: [Terminal 1D, alsoKnownAs, T1D]
-
A.
Mellitus
Mellitus was an early 7th-century Christian missionary and the first Bishop of London, later serving as Archbishop of Canterbury in Anglo-Saxon England.
-
B.
Diabetes Group
Diabetes Group is a Medtronic business division focused on developing and providing medical technologies and solutions for diabetes management.
-
C.
GDM
GDM (GNOME Display Manager) is the graphical login and session management system used by the GNOME desktop environment on Unix-like operating systems.
-
D.
insulin
Insulin is a peptide hormone produced by the pancreas that regulates blood glucose levels and is essential in the treatment of diabetes.
-
E.
Insulindia
Insulindia is a historical and geographical term referring to the Malay Archipelago, the vast group of islands in Southeast Asia between the Asian mainland and Australia.
- 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: T1D Triple: [Terminal 1D, alsoKnownAs, T1D]
Generated description
T1D is a shorthand name for Terminal 1D, likely referring to a specific passenger terminal section within an airport.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: T1D Target entity description: T1D is a shorthand name for Terminal 1D, likely referring to a specific passenger terminal section within an airport.
-
A.
Mellitus
Mellitus was an early 7th-century Christian missionary and the first Bishop of London, later serving as Archbishop of Canterbury in Anglo-Saxon England.
-
B.
Diabetes Group
Diabetes Group is a Medtronic business division focused on developing and providing medical technologies and solutions for diabetes management.
-
C.
GDM
GDM (GNOME Display Manager) is the graphical login and session management system used by the GNOME desktop environment on Unix-like operating systems.
-
D.
insulin
Insulin is a peptide hormone produced by the pancreas that regulates blood glucose levels and is essential in the treatment of diabetes.
-
E.
Insulindia
Insulindia is a historical and geographical term referring to the Malay Archipelago, the vast group of islands in Southeast Asia between the Asian mainland and Australia.
- 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_69bd43cf363c819087fd5ab441b4a3f4 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd59df3c3c8190be5db000f831d322 |
completed | March 20, 2026, 2:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdfa8da23881909ba4a70e9697f260 |
completed | March 21, 2026, 1:55 a.m. |
| NEDg | Description generation | batch_69bdfc7b84108190af39c7780f702745 |
completed | March 21, 2026, 2:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bdfd3856b48190a44f49da5fde38f6 |
completed | March 21, 2026, 2:06 a.m. |
Created at: March 20, 2026, 1:12 p.m.