Triple
T13354504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S (New York City Subway service) |
E318152
|
entity |
| Predicate | mapLabel |
P13793
|
FINISHED |
| Object | S |
E83757
|
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: S | Statement: [S (New York City Subway service), mapLabel, S]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: S Context triple: [S (New York City Subway service), mapLabel, S]
-
A.
S
chosen
S is the New York City Subway service designation used for the 42nd Street Shuttle, a short line connecting Times Square and Grand Central in Manhattan.
-
B.
S
S is the distinctive middle initial of U.S. President Harry S. Truman, famously not standing for any specific name but honoring both of his grandfathers.
-
C.
S
S is the common abbreviation for the Swedish Social Democratic Party, a major center-left political party in Sweden.
-
D.
S1
S1 is a key commuter rail line of the Stuttgart S-Bahn network, connecting central Stuttgart with its surrounding suburbs and regional destinations.
-
E.
S1
S1 is one of Munich’s S-Bahn commuter rail lines that connects the city center with its northwestern suburbs and Munich Airport.
- 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_69d806b5a3c08190b42c267fb092f98a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99f1ef94c81909a59b7c3f77d3335 |
completed | April 11, 2026, 1:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f71f4bdfdc819094d3945280ed8d30 |
completed | May 3, 2026, 10:11 a.m. |
Created at: April 9, 2026, 9:32 p.m.