Triple
T9580691
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2009 Fort Totten crash |
E231160
|
entity |
| Predicate | lineSegment |
P17813
|
FINISHED |
| Object | between Takoma and Fort Totten stations |
—
|
LITERAL 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: between Takoma and Fort Totten stations | Statement: [2009 Fort Totten crash, lineSegment, between Takoma and Fort Totten stations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lineSegment Context triple: [2009 Fort Totten crash, lineSegment, between Takoma and Fort Totten stations]
-
A.
lineElement
chosen
Indicates a relationship where something functions as, or is identified as, an element or segment of a line within a larger linear structure or representation.
-
B.
lineSymbol
Indicates that one entity is used as a line-style or line-representation symbol for another entity.
-
C.
lineExtendedTo
Indicates that one line is formed by extending another line beyond its original endpoint.
-
D.
lineCorridor
Indicates that one entity is a corridor represented or approximated by a line, typically modeling a narrow passageway or path between areas.
-
E.
lineType
Indicates the specific category or style of a line used in a representation, such as its function or visual convention.
- 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_69ca848091c48190bc313d6620d09555 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd99cbe79081909947b4d1389eb015 |
completed | April 1, 2026, 10:18 p.m. |
| PD | Predicate disambiguation | batch_69ccd59fd7408190b36831902e3f37f7 |
completed | April 1, 2026, 8:21 a.m. |
Created at: March 30, 2026, 8:05 p.m.