Triple
T21355293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maine State Route 90 |
E526604
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
SR 90
SR 90 is a state highway in Maine that serves as an east–west connector route between the coastal communities of Rockport and Warren.
|
E1479861
|
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: SR 90 | Statement: [Maine State Route 90, abbreviation, SR 90]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SR 90 Context triple: [Maine State Route 90, abbreviation, SR 90]
-
A.
SR 90
SR 90 is a short California state highway in the Los Angeles area commonly known as the Marina Freeway.
-
B.
SR 90
SR 90 is a state highway in Georgia that connects several small towns and rural areas in the southwestern and central parts of the state.
-
C.
SR 9
SR 9 is a primary state highway in Virginia that runs through the northern part of the state, connecting rural communities to the Washington, D.C. metropolitan area.
-
D.
SR 9
SR 9 is a north–south state highway in Washington that runs through Snohomish and Skagit counties, serving as a parallel alternative to Interstate 5.
-
E.
SR 9
SR 9 is a scenic state highway in California that winds through the Santa Cruz Mountains, connecting the communities of Saratoga and Los Gatos with the San Lorenzo Valley.
- 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: SR 90 Triple: [Maine State Route 90, abbreviation, SR 90]
Generated description
SR 90 is a state highway in Maine that serves as an east–west connector route between the coastal communities of Rockport and Warren.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SR 90 Target entity description: SR 90 is a state highway in Maine that serves as an east–west connector route between the coastal communities of Rockport and Warren.
-
A.
SR 90
SR 90 is a short California state highway in the Los Angeles area commonly known as the Marina Freeway.
-
B.
SR 90
SR 90 is a state highway in Georgia that connects several small towns and rural areas in the southwestern and central parts of the state.
-
C.
SR 9
SR 9 is a primary state highway in Virginia that runs through the northern part of the state, connecting rural communities to the Washington, D.C. metropolitan area.
-
D.
SR 9
SR 9 is a north–south state highway in Washington that runs through Snohomish and Skagit counties, serving as a parallel alternative to Interstate 5.
-
E.
SR 9
SR 9 is a scenic state highway in California that winds through the Santa Cruz Mountains, connecting the communities of Saratoga and Los Gatos with the San Lorenzo Valley.
- 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_69e0b51cd5cc81909ac1187971e8a8ad |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8af9cd4a48190aa6e72c019b60f8c |
completed | April 22, 2026, 11:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09ad6361b881908db56803d3109bf4 |
completed | May 17, 2026, 11:58 a.m. |
| NEDg | Description generation | batch_6a09adf244d481908bb02f99844f1cd0 |
completed | May 17, 2026, noon |
| NED2 | Entity disambiguation (via description) | batch_6a09ae91d9cc8190a677124f1a0e1e4e |
completed | May 17, 2026, 12:03 p.m. |
Created at: April 16, 2026, 5:06 p.m.