Triple
T14494660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Astoria-Megler Bridge |
E359459
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
Megler
Megler is a small unincorporated community in Pacific County, Washington, located near the north end of the Astoria–Megler Bridge where the Columbia River meets the Pacific Ocean.
|
E1102165
|
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: Megler | Statement: [Astoria-Megler Bridge, namedAfter, Megler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Megler Context triple: [Astoria-Megler Bridge, namedAfter, Megler]
-
A.
Luetkemeyer
Luetkemeyer is the birth surname of American actress Julie Bowen, known for her roles in television and film.
-
B.
Naeher
Naeher is the surname of Alyssa Naeher, an American professional soccer goalkeeper known for her role with the United States women's national team.
-
C.
Meyer-Hetling
Meyer-Hetling is a German surname most notably associated with Konrad Meyer-Hetling, an agronomist and SS officer involved in Nazi settlement planning.
-
D.
Neubauer
Neubauer is a German surname borne by various notable individuals, including activists, politicians, and academics.
-
E.
Kleiman
Kleiman is a surname of Dutch origin borne by various notable individuals, including those associated with the Dutch resistance during World War II.
- 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: Megler Triple: [Astoria-Megler Bridge, namedAfter, Megler]
Generated description
Megler is a small unincorporated community in Pacific County, Washington, located near the north end of the Astoria–Megler Bridge where the Columbia River meets the Pacific Ocean.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Megler Target entity description: Megler is a small unincorporated community in Pacific County, Washington, located near the north end of the Astoria–Megler Bridge where the Columbia River meets the Pacific Ocean.
-
A.
Luetkemeyer
Luetkemeyer is the birth surname of American actress Julie Bowen, known for her roles in television and film.
-
B.
Naeher
Naeher is the surname of Alyssa Naeher, an American professional soccer goalkeeper known for her role with the United States women's national team.
-
C.
Meyer-Hetling
Meyer-Hetling is a German surname most notably associated with Konrad Meyer-Hetling, an agronomist and SS officer involved in Nazi settlement planning.
-
D.
Neubauer
Neubauer is a German surname borne by various notable individuals, including activists, politicians, and academics.
-
E.
Kleiman
Kleiman is a surname of Dutch origin borne by various notable individuals, including those associated with the Dutch resistance during World War II.
- 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_69d8279740308190af9df93a3af8592e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de930f34d08190b4b30e54e2f702ed |
completed | April 14, 2026, 7:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6d9544cc81908105554f212a9b8c |
completed | May 8, 2026, 4:59 a.m. |
| NEDg | Description generation | batch_69fd6e75155081908cec8cac1101c17e |
completed | May 8, 2026, 5:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd6f38ea788190a957419ca1971b15 |
completed | May 8, 2026, 5:06 a.m. |
Created at: April 10, 2026, 1:21 a.m.