Triple
T1708303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ashmont |
E36919
|
entity |
| Predicate | hasBusConnectionsTo |
P3791
|
FINISHED |
| Object |
Lower Mills
Lower Mills is a historic neighborhood in the Dorchester area of Boston, Massachusetts, known for its former industrial mills along the Neponset River and its residential, village-like character.
|
E193505
|
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: Lower Mills | Statement: [Ashmont, hasBusConnectionsTo, Lower Mills]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lower Mills Context triple: [Ashmont, hasBusConnectionsTo, Lower Mills]
-
A.
Miners Mills
Miners Mills is a residential neighborhood within the city of Wilkes-Barre in northeastern Pennsylvania.
-
B.
Milltown
Milltown is a small hamlet within the Town of Southeast in Putnam County, New York.
-
C.
Boston Mills
Boston Mills is a ski area in Ohio that operates as part of the Vail Resorts portfolio, offering winter sports and recreational activities.
-
D.
Langhorne
Langhorne is the middle name of Samuel Langhorne Clemens, better known by his pen name Mark Twain, the famed American author and humorist.
-
E.
Langhorne
Langhorne is a surname most notably associated with Crystal Langhorne, an American professional basketball player who starred in the WNBA.
- 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: Lower Mills Triple: [Ashmont, hasBusConnectionsTo, Lower Mills]
Generated description
Lower Mills is a historic neighborhood in the Dorchester area of Boston, Massachusetts, known for its former industrial mills along the Neponset River and its residential, village-like character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lower Mills Target entity description: Lower Mills is a historic neighborhood in the Dorchester area of Boston, Massachusetts, known for its former industrial mills along the Neponset River and its residential, village-like character.
-
A.
Miners Mills
Miners Mills is a residential neighborhood within the city of Wilkes-Barre in northeastern Pennsylvania.
-
B.
Milltown
Milltown is a small hamlet within the Town of Southeast in Putnam County, New York.
-
C.
Boston Mills
Boston Mills is a ski area in Ohio that operates as part of the Vail Resorts portfolio, offering winter sports and recreational activities.
-
D.
Langhorne
Langhorne is the middle name of Samuel Langhorne Clemens, better known by his pen name Mark Twain, the famed American author and humorist.
-
E.
Langhorne
Langhorne is a surname most notably associated with Crystal Langhorne, an American professional basketball player who starred in the WNBA.
- 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_69a88617439c819094ffb5d16a0f6307 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa63118618819085700fa84e362d60 |
completed | March 6, 2026, 5:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad8ad849648190b2bb0e2a50cd6c75 |
completed | March 8, 2026, 2:42 p.m. |
| NEDg | Description generation | batch_69ad957912808190be5b6ed8d3f20535 |
completed | March 8, 2026, 3:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad97accca48190bc43e94337589a5f |
completed | March 8, 2026, 3:37 p.m. |
Created at: March 4, 2026, 7:30 p.m.