Triple
T9200432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shippan Point |
E220823
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | City of Stamford |
E41539
|
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: City of Stamford | Statement: [Shippan Point, partOf, City of Stamford]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: City of Stamford Context triple: [Shippan Point, partOf, City of Stamford]
-
A.
Greater Stamford
Greater Stamford is the metropolitan area centered on Stamford, Connecticut, encompassing the city and its surrounding communities in southwestern Connecticut.
-
B.
Stamford
Stamford is a historic market town in eastern England renowned for its well-preserved medieval and Georgian architecture.
-
C.
City of Meriden
The City of Meriden is a municipal government in Connecticut responsible for providing local services, governance, and public amenities to its residents.
-
D.
Downtown Stamford
Downtown Stamford is the central business and commercial district of Stamford, Connecticut, known for its corporate offices, dining, shopping, and entertainment venues.
-
E.
Stamford, Connecticut
chosen
Stamford, Connecticut is a major city in southwestern Connecticut known as a key financial and corporate hub within the New York metropolitan area.
- 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_69ca83e8e9248190862cf3e41693b310 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccd881c5d48190bbc33fac71a1d849 |
completed | April 1, 2026, 8:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d05c451210819091188151d799e4cb |
completed | April 4, 2026, 12:33 a.m. |
Created at: March 30, 2026, 7:25 p.m.