Triple
T8471572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dialog Manager |
E200291
|
entity |
| Predicate | providesAPI |
P1395
|
FINISHED |
| Object | ModalDialog |
E697574
|
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: ModalDialog | Statement: [Dialog Manager, providesAPI, ModalDialog]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ModalDialog Context triple: [Dialog Manager, providesAPI, ModalDialog]
-
A.
MatDialog
chosen
MatDialog is an Angular Material service and UI component used to open and manage modal dialog windows in Angular applications.
-
B.
Dialogi
Dialogi is a satirical humanist work by Ulrich von Hutten that criticizes the corruption and abuses of the late medieval Church and contemporary authorities.
-
C.
Modalys
Modalys is a sound synthesis and physical modeling software environment developed at IRCAM for creating and exploring complex virtual instruments and acoustic phenomena.
-
D.
Modulen
Modulen is a specialized medical nutrition product line from Nestlé Health Science, commonly used in the dietary management of conditions such as Crohn’s disease.
-
E.
MODAFL
MODAFL is the acronym for Iran's Ministry of Defense and Armed Forces Logistics, the government body responsible for overseeing the country's military defense policy, procurement, and logistical support.
- 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_69ca831a4f348190bfdd09250e86ae35 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe4f3a81881908f20514579945ffa |
completed | March 31, 2026, 3:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce39fc9bf481908e37919b13465d18 |
completed | April 2, 2026, 9:42 a.m. |
Created at: March 30, 2026, 6:11 p.m.