Triple
T1769589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fitchburg |
E38842
|
entity |
| Predicate | hasNeighborhood |
P40
|
FINISHED |
| Object |
Upper Common
Upper Common is a neighborhood in Fitchburg, Massachusetts, known as part of the city’s central urban area.
|
E199613
|
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: Upper Common | Statement: [Fitchburg, hasNeighborhood, Upper Common]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Upper Common Context triple: [Fitchburg, hasNeighborhood, Upper Common]
-
A.
Higher
"Higher" is a song featured on Taylor Swift's album "Cruel Summer."
-
B.
Second Gymnasium
The Second Gymnasium is one of the two main indoor arenas within Tokyo’s Yoyogi National Gymnasium complex, used for sports events and other large-scale gatherings.
-
C.
Middle School
Middle School is an educational stage typically covering early adolescent grades between primary/elementary school and high/secondary school.
-
D.
Gymnasium
Gymnasium is a modern open-source toolkit for developing and comparing reinforcement learning algorithms, serving as a successor and refinement to OpenAI Gym.
-
E.
Manchester Grammar School
Manchester Grammar School is a prestigious independent day school for boys in Manchester, England, renowned for its strong academic tradition and history dating back to the early 16th century.
- 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: Upper Common Triple: [Fitchburg, hasNeighborhood, Upper Common]
Generated description
Upper Common is a neighborhood in Fitchburg, Massachusetts, known as part of the city’s central urban area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Upper Common Target entity description: Upper Common is a neighborhood in Fitchburg, Massachusetts, known as part of the city’s central urban area.
-
A.
Higher
"Higher" is a song featured on Taylor Swift's album "Cruel Summer."
-
B.
Second Gymnasium
The Second Gymnasium is one of the two main indoor arenas within Tokyo’s Yoyogi National Gymnasium complex, used for sports events and other large-scale gatherings.
-
C.
Middle School
Middle School is an educational stage typically covering early adolescent grades between primary/elementary school and high/secondary school.
-
D.
Gymnasium
Gymnasium is a modern open-source toolkit for developing and comparing reinforcement learning algorithms, serving as a successor and refinement to OpenAI Gym.
-
E.
Manchester Grammar School
Manchester Grammar School is a prestigious independent day school for boys in Manchester, England, renowned for its strong academic tradition and history dating back to the early 16th century.
- 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_69a8862e61708190af97b9838cc3f5de |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa648eb9488190b1be2d2b6d259634 |
completed | March 6, 2026, 5:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ada9936f5881909b78bda48039916a |
completed | March 8, 2026, 4:53 p.m. |
| NEDg | Description generation | batch_69adae9845f081908904030f7a10df63 |
completed | March 8, 2026, 5:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adafa3494c8190b34a6930cf38ca40 |
completed | March 8, 2026, 5:19 p.m. |
Created at: March 4, 2026, 7:31 p.m.