Triple
T3761378
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | F. W. Woolworth store in Greensboro |
E82167
|
entity |
| Predicate | preservedFeature |
P17760
|
FINISHED |
| Object | original lunch counter |
—
|
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: original lunch counter | Statement: [F. W. Woolworth store in Greensboro, preservedFeature, original lunch counter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: preservedFeature Context triple: [F. W. Woolworth store in Greensboro, preservedFeature, original lunch counter]
-
A.
preservesFeature
chosen
Indicates that one entity maintains or keeps intact a particular feature, property, or characteristic of another entity during some process or interaction.
-
B.
preservationFactor
Indicates the degree to which something is protected, maintained, or kept intact over time, often moderating how much change, loss, or degradation occurs.
-
C.
preservedExample
Indicates that an example instance has been kept intact or maintained in its original state for future reference or use.
-
D.
preservationType
Indicates the method or process by which something is preserved or kept from deterioration.
-
E.
preservedAt
Indicates that something is kept, maintained, or conserved in a particular place or context.
- 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_69ad8b1db40081908b61ffa6b78afd4d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcbc553a08190ba361675901496ed |
completed | March 8, 2026, 7:19 p.m. |
| PD | Predicate disambiguation | batch_69adc04c851c8190ae5eaebf36df539b |
completed | March 8, 2026, 6:30 p.m. |
Created at: March 8, 2026, 3:35 p.m.