Triple
T1338930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dublin Airport |
E28419
|
entity |
| Predicate | operator |
P179
|
FINISHED |
| Object |
daa
daa is the Irish state-owned airport operator responsible for managing Dublin Airport and other aviation and travel-related businesses.
|
E153362
|
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: daa | Statement: [Dublin Airport, operator, daa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: daa Context triple: [Dublin Airport, operator, daa]
-
A.
DA
DA is the official abbreviation for the United States Department of the Army, the federal agency responsible for organizing, training, and equipping the U.S. Army.
-
B.
DDA
DDA is the commonly used abbreviation for the Division on Dynamical Astronomy, a professional group focused on the study of celestial dynamics within the American Astronomical Society.
-
C.
DDC
DDC is a widely used library classification system that organizes books and other materials into numbered subject categories for easy retrieval.
-
D.
DAL
DAL is the stock ticker symbol for Delta Air Lines, a major U.S.-based international airline.
-
E.
DAL
DAL is the standard three-letter abbreviation used for the NBA team Dallas Mavericks.
- 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: daa Triple: [Dublin Airport, operator, daa]
Generated description
daa is the Irish state-owned airport operator responsible for managing Dublin Airport and other aviation and travel-related businesses.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: daa Target entity description: daa is the Irish state-owned airport operator responsible for managing Dublin Airport and other aviation and travel-related businesses.
-
A.
DA
DA is the official abbreviation for the United States Department of the Army, the federal agency responsible for organizing, training, and equipping the U.S. Army.
-
B.
DDA
DDA is the commonly used abbreviation for the Division on Dynamical Astronomy, a professional group focused on the study of celestial dynamics within the American Astronomical Society.
-
C.
DDC
DDC is a widely used library classification system that organizes books and other materials into numbered subject categories for easy retrieval.
-
D.
DAL
DAL is the stock ticker symbol for Delta Air Lines, a major U.S.-based international airline.
-
E.
DAL
DAL is the standard three-letter abbreviation used for the NBA team Dallas Mavericks.
- 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_69a49854eb3481908c7d56b2e449a290 |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c21303c881908fef0b32831222fe |
completed | March 1, 2026, 10:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acc62e4c788190824df2a9b81692d7 |
completed | March 8, 2026, 12:43 a.m. |
| NEDg | Description generation | batch_69acc6af0db88190a02936072783553e |
completed | March 8, 2026, 12:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69acc722d8608190acbef82f180b75d1 |
completed | March 8, 2026, 12:47 a.m. |
Created at: March 1, 2026, 7:56 p.m.