Triple
T8743210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ME 100 |
E207555
|
entity |
| Predicate | stateRouteAbbreviation |
P28856
|
FINISHED |
| Object | Route 100 |
E184141
|
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 100 | Statement: [ME 100, stateRouteAbbreviation, Route 100]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Route 100 Context triple: [ME 100, stateRouteAbbreviation, Route 100]
-
A.
Route 100
chosen
Route 100 is the former designation of the Norristown High Speed Line, an interurban rapid transit route in the Philadelphia metropolitan area.
-
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 110
Route 110 is a poem by Seamus Heaney that reimagines episodes from Homer’s Odyssey within the landscapes and experiences of modern Ireland.
-
D.
Route 107
Route 107 is a state highway in Massachusetts that runs through cities such as Revere and Lynn, serving as a key north–south arterial route north of Boston.
-
E.
Route 107
Route 107 is a state highway in southwestern Connecticut that serves as a local connector through towns such as Redding and Georgetown.
- 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_69ca835a03a081909d4d4cd01a18c9fb |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5ee850b88190a0294bcbe4045aa3 |
completed | March 31, 2026, 11:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf42fdb90c81909af29b5c0a26560a |
completed | April 3, 2026, 4:33 a.m. |
Created at: March 30, 2026, 6:38 p.m.