Triple
T19959342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 23rd Street station (IRT Broadway–Seventh Avenue Line) |
E479768
|
entity |
| Predicate | hasColumnSigns |
P138031
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [23rd Street station (IRT Broadway–Seventh Avenue Line), hasColumnSigns, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasColumnSigns Context triple: [23rd Street station (IRT Broadway–Seventh Avenue Line), hasColumnSigns, yes]
-
A.
hasColumns
Indicates that one entity possesses or is characterized by a set of columns associated with it.
-
B.
hasCol
Indicates that one entity possesses, contains, or is associated with a particular color.
-
C.
hasSignConvention
Indicates that a particular system, quantity, or representation follows a specified rule for assigning positive and negative signs.
-
D.
hasSignTypes
Indicates that an entity is associated with one or more specific types or categories of signs.
-
E.
hasConsonantSigns
Indicates that one entity possesses or includes consonant sign characters as part of its representation or structure.
- F. None of above. chosen
Provenance (4 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_69d8e523c19881909f9197037200dde6 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65af2c3548190a44f972a1bd33256 |
completed | April 20, 2026, 4:57 p.m. |
| PD | Predicate disambiguation | batch_69e537f7e4848190b431a69ec3f1b609 |
completed | April 19, 2026, 8:15 p.m. |
| PDg | Predicate description generation | batch_69e543c42c688190a22f4d31ec692377 |
completed | April 19, 2026, 9:06 p.m. |
Created at: April 10, 2026, 1:54 p.m.