Triple
T26821060
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Key System |
E675246
|
entity |
| Predicate | usedInfrastructure |
P6820
|
FINISHED |
| Object |
Bay Bridge railway tracks
The Bay Bridge railway tracks were the dedicated rail lines on the San Francisco–Oakland Bay Bridge that carried interurban trains and streetcars between San Francisco and the East Bay in the mid-20th century.
|
E1740088
|
NE FINISHED |
How this triple was built (2 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: Bay Bridge railway tracks | Statement: [Key System, usedInfrastructure, Bay Bridge railway tracks]
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: Bay Bridge railway tracks Triple: [Key System, usedInfrastructure, Bay Bridge railway tracks]
Generated description
The Bay Bridge railway tracks were the dedicated rail lines on the San Francisco–Oakland Bay Bridge that carried interurban trains and streetcars between San Francisco and the East Bay in the mid-20th century.
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_69eee9b6b28481909332f83eb17e5170 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f61a89d73c8190b1287cab1ce69805 |
completed | May 2, 2026, 3:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a12097ada648190bf45371b8cdc261b |
completed | May 23, 2026, 8:09 p.m. |
| NEDg | Description generation | batch_6a120a3f4550819095c30c79f5faa104 |
completed | May 23, 2026, 8:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a120b0abaf8819087003d4c7978853f |
completed | May 23, 2026, 8:16 p.m. |
Created at: April 27, 2026, 4:55 a.m.