Triple
T3607737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MA 129 |
E76412
|
entity |
| Predicate | hasJunctionWith |
P1018
|
FINISHED |
| Object | Route 1A |
E11556
|
NE 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: Route 1A | Statement: [MA 129, hasJunctionWith, Route 1A]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Route 1A Context triple: [MA 129, hasJunctionWith, Route 1A]
-
A.
Route 1A
chosen
Route 1A is a state highway in Massachusetts that runs along the North Shore and provides access to Logan International Airport and coastal communities near Boston.
-
B.
Route 10
Route 10 is a SEPTA subway–surface trolley line in Philadelphia that provides light rail service between Center City and the city’s western neighborhoods.
-
C.
Route 15E
Route 15E is a popular Lisbon tram line known for connecting the city center with the Belém district and its major historical attractions.
-
D.
Route 129
Route 129 is a state highway in Massachusetts that runs east–west, connecting several communities north of Boston.
-
E.
Route 18E
Route 18E is a historic Lisbon tram line known for its classic yellow trams and scenic journey through traditional neighborhoods.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ad85da0ba481908b3b48c69efe2b98 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc228e24481909ae6a1e4ad796917 |
completed | March 8, 2026, 6:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4330bc9f081909a5c1e6da885cfc5 |
completed | March 13, 2026, 3:53 p.m. |
Created at: March 8, 2026, 3:22 p.m.