Triple
T26772847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spaulding Turnpike |
E670028
|
entity |
| Predicate | southernTerminusJunction |
P5249
|
FINISHED |
| Object | Interstate 95 in Portsmouth |
—
|
NE NERFINISHED |
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: Interstate 95 in Portsmouth | Statement: [Spaulding Turnpike, southernTerminusJunction, Interstate 95 in Portsmouth]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: southernTerminusJunction Context triple: [Spaulding Turnpike, southernTerminusJunction, Interstate 95 in Portsmouth]
-
A.
southernTerminusVariant
Indicates a variant or alternative form of the southern endpoint or terminus of something (such as a route, line, or boundary).
-
B.
hasSouthernTerminus
chosen
Indicates that one entity serves as the southern endpoint or terminus of another entity, such as a route, line, or path.
-
C.
southTerminusType
Indicates the type or nature of the southern endpoint or terminus of something (such as a route, line, or boundary).
-
D.
terminusSouthConnection
Indicates a connection where one entity serves as the southern terminus or endpoint of another entity.
-
E.
terminusSouthNear
Indicates that the southern end or terminus of one entity is located close to another entity.
- 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_69eeb31c925881909b597f6e40056d28 |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f6192e4bc48190b7afa145e0c53b8b |
completed | May 2, 2026, 3:33 p.m. |
| PD | Predicate disambiguation | batch_69f611ad2eb48190ac1ed0090f13f7a9 |
completed | May 2, 2026, 3:01 p.m. |
Created at: April 27, 2026, 4:03 a.m.