Triple
T17210861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maine State Route 223 |
E417724
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
SR 223
SR 223 is a state highway in Maine that serves as a short connector route between local communities and larger regional roads.
|
E1255369
|
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 223 | Statement: [Maine State Route 223, abbreviation, SR 223]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SR 223 Context triple: [Maine State Route 223, abbreviation, SR 223]
-
A.
SR 222
SR 222 is a state highway in Maine that connects the city of Bangor with the town of Corinna.
-
B.
SR 221
SR 221 is a state highway in Maine that serves as a short connector route between local communities and larger regional roads.
-
C.
SR 237
SR 237 is a state highway designation used for specific numbered routes within various U.S. state highway systems.
-
D.
SR 23
SR 23 is a California state highway that runs through Ventura and Los Angeles counties, connecting the Pacific Coast Highway near Malibu to U.S. Route 101 and State Route 118.
-
E.
SR 238
SR 238 is a state highway in California that runs through the East Bay region, connecting the cities of Fremont, Union City, Hayward, and San Leandro.
- 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 223 Triple: [Maine State Route 223, abbreviation, SR 223]
Generated description
SR 223 is a state highway in Maine that serves as a short connector route between local communities and larger regional roads.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SR 223 Target entity description: SR 223 is a state highway in Maine that serves as a short connector route between local communities and larger regional roads.
-
A.
SR 222
SR 222 is a state highway in Maine that connects the city of Bangor with the town of Corinna.
-
B.
SR 221
SR 221 is a state highway in Maine that serves as a short connector route between local communities and larger regional roads.
-
C.
SR 237
SR 237 is a state highway designation used for specific numbered routes within various U.S. state highway systems.
-
D.
SR 23
SR 23 is a California state highway that runs through Ventura and Los Angeles counties, connecting the Pacific Coast Highway near Malibu to U.S. Route 101 and State Route 118.
-
E.
SR 238
SR 238 is a state highway in California that runs through the East Bay region, connecting the cities of Fremont, Union City, Hayward, and San Leandro.
- 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_69d886d779488190b131369541c04e7d |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42dc5a51481908d5ea0f9a1e9aa8b |
completed | April 19, 2026, 1:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a015fe217308190b6ae1e98d0c421e4 |
completed | May 11, 2026, 4:49 a.m. |
| NEDg | Description generation | batch_6a0160e95f1481908058aed285968991 |
completed | May 11, 2026, 4:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01617888ac8190af2a91a4bd28b402 |
completed | May 11, 2026, 4:56 a.m. |
Created at: April 10, 2026, 5:38 a.m.