Triple
T25322017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CTSS |
E634906
|
entity |
| Predicate | locationOfDeployment |
P82760
|
FINISHED |
| Object | MIT campus |
—
|
NE NERFINISHED |
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: MIT campus | Statement: [CTSS, locationOfDeployment, MIT campus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locationOfDeployment Context triple: [CTSS, locationOfDeployment, MIT campus]
-
A.
deploymentLocation
chosen
Indicates the place or environment where something (such as a system, resource, or component) is deployed or put into operational use.
-
B.
portOfDeployment
Indicates the location or facility where an entity (such as a vessel, unit, or equipment) is initially deployed or assigned for operational use.
-
C.
platformLocation
Indicates the spatial position or placement of a platform relative to a reference point or environment.
-
D.
operationLocation
Indicates the place or site where an operation, activity, or process is carried out.
-
E.
geographicDeployment
Indicates how something is distributed, implemented, or present across different geographic locations or regions.
- F. None of above.
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_69e75a9847c08190bb02990d06d5ffb7 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f6d6a6b04c8190bee4cf9c00665ef7 |
completed | May 3, 2026, 5:01 a.m. |
| PD | Predicate disambiguation | batch_69f6d26ceb08819091c71c001e954936 |
completed | May 3, 2026, 4:43 a.m. |
Created at: April 21, 2026, 1:28 p.m.