Triple
T11413896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Geraldton Airport |
E270439
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
GET
GET is the IATA airport code for Geraldton Airport in Western Australia, which serves the coastal city of Geraldton and its surrounding region.
|
E924297
|
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: GET | Statement: [Geraldton Airport, IATAcode, GET]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GET Context triple: [Geraldton Airport, IATAcode, GET]
-
A.
GetRequest
GetRequest is a standard single-item retrieval operation or message type commonly used in APIs or network protocols to request a specific resource or piece of data.
-
B.
Get By
"Get By" is a song whose title suggests themes of perseverance and managing to cope or survive despite difficulties.
-
C.
REST
REST is an FTP command used to specify a restart point for resuming interrupted file transfers.
-
D.
Gnocchi API
Gnocchi API is a time-series and resource indexing service API used in OpenStack for efficient storage, retrieval, and aggregation of metrics data.
-
E.
GES
GES is the stock ticker symbol for Guess?, Inc., an American clothing and accessories retailer known for its denim and fashion apparel.
- 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: GET Triple: [Geraldton Airport, IATAcode, GET]
Generated description
GET is the IATA airport code for Geraldton Airport in Western Australia, which serves the coastal city of Geraldton and its surrounding region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: GET Target entity description: GET is the IATA airport code for Geraldton Airport in Western Australia, which serves the coastal city of Geraldton and its surrounding region.
-
A.
GetRequest
GetRequest is a standard single-item retrieval operation or message type commonly used in APIs or network protocols to request a specific resource or piece of data.
-
B.
Get By
"Get By" is a song whose title suggests themes of perseverance and managing to cope or survive despite difficulties.
-
C.
REST
REST is an FTP command used to specify a restart point for resuming interrupted file transfers.
-
D.
Gnocchi API
Gnocchi API is a time-series and resource indexing service API used in OpenStack for efficient storage, retrieval, and aggregation of metrics data.
-
E.
GES
GES is the stock ticker symbol for Guess?, Inc., an American clothing and accessories retailer known for its denim and fashion apparel.
- 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_69d6aaddeaa8819088b30ef7b50598c9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d801acd9bc81908a23b1b7b4e778d3 |
completed | April 9, 2026, 7:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5b86936348190b8fa4125995c2a85 |
completed | April 20, 2026, 5:23 a.m. |
| NEDg | Description generation | batch_69e5c28d3824819097ff84cb4e13c923 |
completed | April 20, 2026, 6:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e5c451c6c88190bcbb1f54ede35d29 |
completed | April 20, 2026, 6:14 a.m. |
Created at: April 8, 2026, 9:34 p.m.