Triple
T7616868
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Allston Christmas |
E172382
|
entity |
| Predicate | typicalItemsDiscarded |
P78142
|
FINISHED |
| Object | couches |
—
|
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: couches | Statement: [Allston Christmas, typicalItemsDiscarded, couches]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalItemsDiscarded Context triple: [Allston Christmas, typicalItemsDiscarded, couches]
-
A.
usedItem
Indicates that an entity has utilized or employed a particular item for some purpose.
-
B.
hasTrashReceptacles
Indicates that one entity provides, contains, or is equipped with trash receptacles for waste disposal in relation to another entity or location.
-
C.
typicalGoodsSold
Indicates the kinds of goods or products that an entity most commonly or characteristically sells.
-
D.
scrappedAfter
Indicates that one entity was discarded, removed, or abandoned after another specified event or entity in time.
-
E.
typicallySpared
Indicates that an entity is usually not affected by, excluded from, or left untouched by a particular action, process, or condition.
- 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_69c699506b308190826894dab1d9ea86 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6fe73ff7c8190ab1218d97b37416d |
completed | March 27, 2026, 10:02 p.m. |
| PD | Predicate disambiguation | batch_69c6f4e725a88190b1f05dd224f7f4f2 |
completed | March 27, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69c6fe7323b0819081664662d2f26937 |
completed | March 27, 2026, 10:02 p.m. |
Created at: March 27, 2026, 3:55 p.m.