Triple
T7622530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fitchburg Line stations |
E172534
|
entity |
| Predicate | haveServiceType |
P849
|
FINISHED |
| Object | commuter rail |
—
|
LITERAL 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: commuter rail | Statement: [Fitchburg Line stations, haveServiceType, commuter rail]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: haveServiceType Context triple: [Fitchburg Line stations, haveServiceType, commuter rail]
-
A.
hasServiceType
chosen
Indicates that an entity is associated with or categorized by a particular type of service.
-
B.
hasServiceTo
Indicates that one entity provides, offers, or operates a service for or directed toward another entity.
-
C.
hasSupportService
Indicates that one entity provides or is associated with a support-related service for another entity.
-
D.
haveType
Indicates that an entity belongs to or is classified under a specified type or category.
-
E.
hasServiceStandard
Indicates that an entity is associated with, or governed by, a defined service standard specifying expected service levels or quality.
- F. None of above.
Provenance (3 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_69c699506b308190826894dab1d9ea86 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6fe73ff7c8190ab1218d97b37416d |
completed | March 27, 2026, 10:02 p.m. |
| PD | Predicate disambiguation | batch_69c6f4e725a88190b1f05dd224f7f4f2 |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:56 p.m.