Triple
T27652888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Merrimack Premium Outlets |
E696908
|
entity |
| Predicate | attractsShoppersFrom |
P163515
|
FINISHED |
| Object | Massachusetts |
—
|
NE NERFINISHED |
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: Massachusetts | Statement: [Merrimack Premium Outlets, attractsShoppersFrom, Massachusetts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: attractsShoppersFrom Context triple: [Merrimack Premium Outlets, attractsShoppersFrom, Massachusetts]
-
A.
attractedMerchantsFrom
Indicates that one entity drew or lured merchants away from another entity or location.
-
B.
attractsDriversFrom
Indicates that one entity draws or pulls drivers away from another entity, causing them to choose or move to it instead.
-
C.
attractsCompetitorsFrom
Indicates that one entity draws or lures competitors away from another entity or location.
-
D.
attracts
Indicates that one entity exerts a force or influence that draws another entity toward it.
-
E.
attractsParticipantsFrom
Indicates that an event, activity, or organization draws or recruits participants originating from a specified place, group, or source.
- 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_69ef590abd3c8190834d0193bde12007 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f6397b64f881909d811225e57aac5e |
completed | May 2, 2026, 5:50 p.m. |
| PD | Predicate disambiguation | batch_69f6370c8c7c8190a02ea82847bb6e76 |
completed | May 2, 2026, 5:40 p.m. |
| PDg | Predicate description generation | batch_69f63893cc188190883ac9321a95d2dc |
completed | May 2, 2026, 5:46 p.m. |
Created at: April 27, 2026, 2:33 p.m.