Triple
T270048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clinton Engineer Works |
E5611
|
entity |
| Predicate | codeName |
P744
|
FINISHED |
| Object | Site X |
E29153
|
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: Site X | Statement: [Clinton Engineer Works, codeName, Site X]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Site X Context triple: [Clinton Engineer Works, codeName, Site X]
-
A.
Site X
chosen
Site X is the World War II–era codename for the Oak Ridge, Tennessee facility that played a central role in the Manhattan Project’s uranium enrichment efforts.
-
B.
Camp X
Camp X was a secret World War II spy training school in Canada that prepared Allied agents in espionage, sabotage, and covert operations.
-
C.
Davidville
Davidville was the original company founded by David Karp that created and initially operated the microblogging platform Tumblr.
-
D.
Weston
Weston is a suburban town in eastern Massachusetts known for its residential character, conservation land, and commuter access to Boston.
-
E.
Sentrum
Sentrum is the central district of Oslo, Norway, which hosts some of the University of Oslo’s urban campus facilities.
- 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_69a25853594c8190b05ec3a586ec88bf |
completed | Feb. 28, 2026, 2:52 a.m. |
| NER | Named-entity recognition | batch_69a25db17e8c8190a6ebcadd8a0abf4d |
completed | Feb. 28, 2026, 3:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a38b9220f08190a94ffd00bb7425fd |
completed | March 1, 2026, 12:42 a.m. |
Created at: Feb. 28, 2026, 2:57 a.m.