Triple
T6192164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South End |
E138415
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object | Franklin Square |
E262182
|
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: Franklin Square | Statement: [South End, hasLandmark, Franklin Square]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Franklin Square Context triple: [South End, hasLandmark, Franklin Square]
-
A.
Franklin Square
chosen
Franklin Square is a suburban hamlet in Nassau County, Long Island, known as a residential community just outside New York City.
-
B.
Franklin Square
Franklin Square is one of Philadelphia’s original five public squares, now a historic urban park featuring fountains, family attractions, and green space in the Old City area.
-
C.
Franklin Square
Franklin Square is a historic public park and urban green space located in downtown Washington, D.C.
-
D.
Sullivan Square
Sullivan Square is a neighborhood in the Charlestown area of Boston, Massachusetts, known historically as a major transportation hub and gateway to the city.
-
E.
Herald Square
Herald Square is a bustling commercial and transportation hub in Midtown Manhattan, best known for its flagship Macy’s department store and as a focal point of New York City’s retail and holiday festivities.
- 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_69c008ab9b3081908a11b2c744838435 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06241977c81909ab8486f5aa30be0 |
completed | March 22, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c243d333e48190b1cb9ffd769f5473 |
completed | March 24, 2026, 7:57 a.m. |
Created at: March 22, 2026, 4:19 p.m.