Triple
T8090210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greenmont Avenue Elementary School |
E188837
|
entity |
| Predicate | town |
P3385
|
FINISHED |
| Object | Dracut |
E34304
|
NE 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: Dracut | Statement: [Greenmont Avenue Elementary School, town, Dracut]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dracut Context triple: [Greenmont Avenue Elementary School, town, Dracut]
-
A.
Dracut
chosen
Dracut is a town in northeastern Massachusetts, United States, known for its suburban character and proximity to the city of Lowell.
-
B.
Dracut Center
Dracut Center is the historic town center and civic hub of Dracut, Massachusetts, featuring key municipal buildings and traditional New England village character.
-
C.
Mageia
Mageia is a community-driven, Linux-based operating system forked from Mandriva, focused on stability, user-friendliness, and open-source principles.
-
D.
Trisquel
Trisquel is a fully free, community-driven GNU/Linux distribution based on Ubuntu, endorsed by the Free Software Foundation for its commitment to software freedom.
-
E.
Perseus Distribution
Perseus Distribution is a book distribution company that provides sales, marketing, and logistical services to independent publishers and imprints.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca82b7b3e88190b9041ab0ef28b3cb |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb421e30e88190b9699b338b69b81c |
completed | March 31, 2026, 3:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc640a42648190bc1a3072eb338e22 |
completed | April 1, 2026, 12:17 a.m. |
Created at: March 30, 2026, 5:29 p.m.