Triple
T6348871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Route 13 trolley |
E142817
|
entity |
| Predicate | servesArea |
P82
|
FINISHED |
| Object | Kingsessing |
E53366
|
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: Kingsessing | Statement: [Route 13 trolley, servesArea, Kingsessing]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kingsessing Context triple: [Route 13 trolley, servesArea, Kingsessing]
-
A.
Kingsessing
chosen
Kingsessing is a historic, predominantly residential neighborhood in Southwest Philadelphia known for its diverse community and urban park spaces.
-
B.
Munderkingen
Munderkingen is a small historic town in the Alb-Donau district of Baden-Württemberg in southern Germany, situated on the Danube River.
-
C.
Kœnig
Kœnig is a French surname most notably associated with figures such as General Marie-Pierre Kœnig, a prominent military leader during World War II.
-
D.
König
König is a German-language surname borne by numerous individuals, including notable figures in fields such as religion, science, and the arts.
-
E.
Throne of Norway
The Throne of Norway is the ceremonial seat and symbol of the Norwegian monarchy, used by the reigning monarch during formal state occasions.
- 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_69c008d6dcbc8190aa1c2f1fd8916b42 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c067bba1988190b51f0a22e4279e1b |
completed | March 22, 2026, 10:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6044fcd288190abdc5746e2904928 |
completed | March 27, 2026, 4:15 a.m. |
Created at: March 22, 2026, 4:31 p.m.