Triple
T3483800
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manhattan District |
E73558
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | MED |
E5610
|
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: MED | Statement: [Manhattan District, alsoKnownAs, MED]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MED Context triple: [Manhattan District, alsoKnownAs, MED]
-
A.
MED
chosen
MED is the commonly used abbreviation for the Manhattan Engineer District, the U.S. Army Corps of Engineers project that directed the development of the atomic bomb during World War II.
-
B.
Clin
Clin is an entity or organization connected in some capacity to Albert Stark, though its specific nature is not clearly established.
-
C.
Health
Health is a lifestyle and wellness media brand that provides information and advice on topics such as fitness, nutrition, mental health, and medical conditions.
-
D.
MEDA
MEDA is a suite of environmental sensors on NASA's Perseverance rover that measures Martian weather and atmospheric conditions.
-
E.
School of Medicine
The School of Medicine at Johns Hopkins University is a leading U.S. medical school renowned for its pioneering biomedical research, rigorous medical education, and influential clinical training programs.
- 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_69ad85b3c9b08190857cae74c7f36da9 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbb781e9c8190810fdd814f506127 |
completed | March 8, 2026, 6:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b36820c90c819091b68cff7a0a2cda |
completed | March 13, 2026, 1:28 a.m. |
Created at: March 8, 2026, 3:17 p.m.