Triple
T4981766
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siletz Bay State Airport |
E111902
|
entity |
| Predicate | FAA LID |
P420
|
FINISHED |
| Object |
S45
S45 is the FAA location identifier for Siletz Bay State Airport, a public airport serving the Lincoln City area in Oregon, United States.
|
E484123
|
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: S45 | Statement: [Siletz Bay State Airport, FAA LID, S45]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: S45 Context triple: [Siletz Bay State Airport, FAA LID, S45]
-
A.
S45
S45 is a Berlin S-Bahn suburban rail line that connects the city’s southern districts, including Berlin Brandenburg Airport, with the wider urban transit network.
-
B.
S44
S44 is a Staten Island local bus route in New York City that connects New Springville with other neighborhoods across the borough.
-
C.
S46
S46 is a commuter rail line of the Berlin S-Bahn network serving suburban and urban areas along its designated route.
-
D.
S47
S47 is a line of the Berlin S-Bahn urban rail network serving parts of the German capital and its surrounding area.
-
E.
S4
S4 is a commuter rail line of the Nuremberg S-Bahn network serving regional passenger traffic in and around Nuremberg, Germany.
- 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: S45 Triple: [Siletz Bay State Airport, FAA LID, S45]
Generated description
S45 is the FAA location identifier for Siletz Bay State Airport, a public airport serving the Lincoln City area in Oregon, United States.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: S45 Target entity description: S45 is the FAA location identifier for Siletz Bay State Airport, a public airport serving the Lincoln City area in Oregon, United States.
-
A.
S45
S45 is a Berlin S-Bahn suburban rail line that connects the city’s southern districts, including Berlin Brandenburg Airport, with the wider urban transit network.
-
B.
S44
S44 is a Staten Island local bus route in New York City that connects New Springville with other neighborhoods across the borough.
-
C.
S46
S46 is a commuter rail line of the Berlin S-Bahn network serving suburban and urban areas along its designated route.
-
D.
S47
S47 is a line of the Berlin S-Bahn urban rail network serving parts of the German capital and its surrounding area.
-
E.
S4
S4 is a commuter rail line of the Nuremberg S-Bahn network serving regional passenger traffic in and around Nuremberg, Germany.
- 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_69bd441adc208190b70a033a0741d01e |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd725310088190a44b5c02658edc52 |
completed | March 20, 2026, 4:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be8a0f90048190998dad99555891c0 |
completed | March 21, 2026, 12:07 p.m. |
| NEDg | Description generation | batch_69be8aec16748190922d3b9de523b1ae |
completed | March 21, 2026, 12:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69be8b80af18819091efdfe242b7b477 |
completed | March 21, 2026, 12:13 p.m. |
Created at: March 20, 2026, 1:33 p.m.